Colorado Springs, CO, United States
Colorado Springs, CO, United States

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Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 150.00K | Year: 2015

ABSTRACT:Software Defined Radios rely on digital FPGAs and/or high performance general purpose processors to realize flexible transmitter/receiver solutions that can adapt to various modulation schemes, waveforms, and even mission functions. However, achieving similar flexibility in the complementary RF Front End (RF-FE) poses a much bigger challenge. RF solutions are often designed to specific frequency plans; attempts to achieve versatility require multiple implementations of the design and increase C-SWaP. What is missing from the RF design tool box is a way to realize high performance, complex RF-FE subsystems using a common, reconfigurable component mirroring the advantages of digital FPGAs. The technology would enable low cost, reconfigurable transceiver systems. CEI proposes to leverage its extensive experience with reconfigurable RF and transceiver design to identify, develop, and evaluate reconfigurable RF-FE network architectures enabling frequency band agnostic, SDR based multi-band navigation and communication handheld solutions. With a focus on minimizing SWaP, CEI will conduct a comprehensive comparative assessment of COTS-based reconfigurable RF-FE network architectures and make a recommendation about the best approach. CEI will evaluate architecture options with respect to complexity, processing load, ease of on-the-fly reconfigurability, and suitability for an SDR-based GNSS receiver and communication device.BENEFIT:CEI has developed software and hardware technologies for a variety of government programs, and the team has transitioned over 37 products to production for use in DoD and Government systems. CEI also has experience commercializing technology developed under Government-funded programs. Products are packaged as COTS items, listed on a catalog price sheet, supported with technical application notes and marketing materials, and made available for sale to both the commercial and Government markets. CEI will promote technologies developed under this effort as part of its standard commercial product marketing and sales activities. As further evidence of CEIs success with commercialization of SBIR technology, the Small Business Administration presented CEI with the Tibbetts Award. This prestigious award is presented to small businesses that represent excellence in achieving the mission and goals of the SBIR and STTR program, stimulate technological innovation, and increase commercialization of Federal research. The reconfigurable RF-FE technology resulting from this program opens up many opportunities for both military and commercial transitions. Dynamically reconfigurable RF modules lower the total ownership cost of systems through improved device commonality, reliability, adaptability, and operational readiness. CEI is teamed with a prime contract who will assist CEI throughout Phase I to identify military transition opportunities for reconfigurable RF beyond the comm/GNSS application identified in the topic. One promising area is EW; applying RF-FE technology to this area results in solutions with enhanced situational awareness, interoperability, and performance to meet evolving threats. A reconfigurable RF technology insertion enhances an EW systems threat detection performance in congested environments, improves interoperability with Blue Force communication and other EW equipment, enhances waveform agility for effective threat defeat, improves reliability, and reduces acquisition cost through part count reduction and reuse of a common RF front end. CEI is also teamed with a leading RF component supplier who is supporting CEI with insight into device-level realization of the concept architectures. The company has extensive insight into both the military and commercial markets and is a market leader in RF solutions including cell phone devices and programmable filters. By collaborating with this company throughout Phase I, II, and III, reconfigurable RF-FE technology will migrate into device-level product offerings.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2013

ABSTRACT: The Joint Environment Toolkit (JET) Increment 2 architecture consists of servers at six globally distributed Operational Weather Squadrons (OWS). Each server must handle peak demand of weather analysis and forecast information from 30-40 Weather Flights (WFs, which provide tactical weather information to pilots) in addition to 1,000 or more other operational users within their area of responsibility. The goal of this program is to provide an elastic deployment of Air Force Weather (AFW) servers by employing advanced cloud technologies. CEI has researched and architected a solution,"GridCloud", drawing from proven distributed computing technologies (".Crunch") built by CEI for Air Force Research Laboratory (AFRL) under prior Phase II efforts to lower development risk. GridCloud is an architecture that defines a solution to the current data and resource sharing challenges that span the existing OWSs. It is critical that GridCloud support interfacing with JET to maximize transition potential, and CEI"s team is composed to ensure that GridCloud is compatible with, and optimized for, JET"s design and ultimately supports an elastic deployment of AFW servers. The result will be a cloud solution addressing security, interoperability, and portability for a system of data processing and storage hubs such as those used in JET. BENEFIT: CEI has developed software and hardware technologies for a variety of government programs, and the team has transitioned over 37 products to production for use in DoD and Government systems. CEI also has experience commercializing technology developed under Government-funded programs. Products are packaged as COTS items, listed on a catalog price sheet, supported with technical application notes and marketing materials, and made available for sale to both the commercial and Government markets. CEI will promote technologies developed under this effort as part of its standard commercial product marketing and sales activities. Additional evidence of CEI"s success with the commercialization of SBIR technology can be seen in the recent presentation of the 2011 Tibbetts Award to CEI by the Small Business Administration. This prestigious award is presented to small businesses that represent excellence in achieving the mission and goals of the SBIR and STTR program, stimulate technological innovation, and increase commercialization of Federal research. A high priority transition opportunity that CEI will pursue during the proposed Phase II development effort is the JET program of record. GridCloud also provides commercialization opportunities beyond JET. The resulting prototype system represents the intersection of both grid and cloud computing that supports the unique challenges of Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). A cloud is fundamentally about obscuring physical components while a grid is essentially about managing physical components. Viewed at a basic level, GridCloud enables a grid architecture that holds a series of scalable clouds, thus providing both IaaS and PaaS to the user. The .Crunch component provides IaaS and the CrunchCloud application that runs on it is PaaS. GridCloud"s web application could be customized to facilitate specific SaaS opportunities. There are two potential product paths that CEI will explore during Phase II: (1) licensing GridCloud as a stand-alone package, and (2) licensing GridCloud technology to a Value Added Reseller (VAR) or Integrator.


Grant
Agency: Department of Defense | Branch: Air Force | Program: STTR | Phase: Phase II | Award Amount: 750.00K | Year: 2013

Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software and middleware required to effectively (and efficiently) harness multi-processor computing power is lacking. The team of Colorado Engineering, Inc. (CEI) and the University of Colorado, Colorado Springs (UCCS) proposes to design and develop an autonomic job scheduling system that addresses two areas of concern performance assurance and energy efficiency in distributed embedded multiprocessor systems for UCAVs. The effort will build on the Phase I program by developing a decentralized and scalable control system that supports automated job scheduling, performance assurance, fault tolerance, energy efficiency, and the migration of control (on-demand) into clouds with wireless networks in UCAVs. A prototype system will be tested in high performance embedded systems and cloud environments to validate performance and value. UCCS will draw on its research into autonomic computing, sustainable computing, and cloud computing, while CEI will leverage its experience with distributed, heterogeneous, high performance, multiprocessor embedded computing architectures during the proposed activities.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 80.00K | Year: 2014

Colorado Engineering, Inc. (CEI) with its teammate AntennaMetrics, Inc. will use their collective experience and expertise to establish the feasibility of exploiting phase noise in a tactical environment for passive target and platform identification and jammer discrimination. CEI will build on many years of radar, EW and electronics experience oriented toward Digital Signal Processing (DSP), Electromagnetics (EM) and RF system design. AntennaMetrics will support CEI by providing deep expertise in EW systems engineering and SEWIP Block 2 design, demo planning, and SEWIP integration of the phase noise discrimination hardware.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 79.97K | Year: 2014

Colorado Engineering, Inc. (CEI) proposes to leverage its expertise in development of compact high speed signal processors for radar applications including U.A.V. to develop similar technologies for torpedo defense applications. A total systems approach will be emphasized that will incorporate state of the art APU, GPU, and FPGA components to develop a common signal processing platform that will meet the needs of a variety of sensor platforms. CEI is familiar with highly dense packaging technologies including extremely dense multilayer PCB"s, MCM"s and ASIC"s. The goal will be to leverage technologies whose advancement is being driven by commercial applications such as telecommunications, video gaming and computing. CEI will apply these technologies to meet the Navy"s unique requirements for torpedo defense applications. The TPOC has expressed that these technologies should be implementable within the next few years. CEI is engaged with many commercial technology suppliers and is familiar with their roadmaps. CEI will also engage with Subject Matter Experts (SME"s) in torpedo defense applications to tailor the signal processing solution to meet the Navy"s needs in this problem space.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 995.57K | Year: 2014

ABSTRACT: Colorado Engineering Inc. (CEI), along with its teammates, proposes to realize the multi-function seeker (MFS) concept in a scalable, heterogeneous, dynamically configurable electronic stack. Leveraging its collective expertise in communication systems design, radar systems design, electromagnetics (EM) analysis and modeling, antenna design, RF design, advanced processing architectures, digital signal processing (DSP) algorithm design, anti-tamper (AT), information assurance (IA) and built-in test (BIT), the CEI team will create a fully functional electronic stack that will demonstrate diverse RF waveforms applicable for both radar and communications functions. The Phase II work will include the final design, modelling, construction, and test of the dynamically configurable RF base module, the digital receiver/exciter module, and the signal processor module. BENEFIT: CEI has a history of success commercializing technologies developed under government programs. The most recent evidence of this success can be seen in the presentation of the Tibbetts Award to CEI by the Small Business Administration. This prestigious award is given to small businesses that represent excellence in achieving the mission and goals of the SBIR program, stimulating technological innovation, and increasing the commercialization of Federal research. CEI was presented with this award at a White House ceremony. CEI has developed software and hardware technologies for a variety of government programs, and the team has transitioned over 37 products to production for use in DoD and Government systems. CEI also has experience commercializing technology developed under Government-funded programs. Products are packaged as COTS items, listed on a catalog price sheet, supported with technical application notes and marketing materials, and made available for sale to both the commercial and government markets. CEI will promote technologies developed under this effort as part of its standard commercial product marketing and sales activities. The MFS architecture, algorithms and technologies will be applicable across all Air Force and DOD missile systems. The technologies and algorithms will be extendable to many DoD and commercial applications that utilize electronic processing and REX systems. CEI has close relationship with primes to get MFS inserted into future missile systems. The architectures developed will be extremely flexible. The commercialization strategy will include generating target data sheets for the derivative technologies and algorithms from MFS. These data sheets will be posted on CEIs website and circulated throughout applicable DOD agencies, NASA, three letter agencies, and interested qualified commercial parties. The MFS system can be scaled for other radar and communication applications. The technology enhancements anticipated under this program will reduce CSWaP requirements while increasing system performance. Enabling multi-function radars to operate in smaller CSWaP footprints will expand the applications and market for these technologies to a wider range of commercial and Government aircraft, both manned and unmanned. The additional capabilities provided by a radar and communication system (MFS) flying on small UAS will be extremely beneficial for all applications of UAS including battlefield advantages, law enforcement and disaster management.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 149.97K | Year: 2014

ABSTRACT: The maneuverability and low cross section of modern targets in today"s airspace presents serious challenges to radar systems. Increasing target SNRs while minimizing transmit power and dwell times is paramount to maximizing asset survivability. ADC technology continues to improve in the commercial market, and the next generation offers higher sampling rates at wider sample lengths. The faster sampling rates of these devices can help lower the noise floor while the increased number of bits improves dynamic range. However, military radar, ELINT, and ECM systems struggle to take advantage of improved ADC components and commercial components in a timely fashion. Strategies enabling faster technology insertion spirals are needed to take advantage of new technologies, or DoD systems risk falling behind the capabilities of adversarial assets. CEI proposes to leverage its extensive experience with radar systems, advanced embedded processing architectures, and high performance ADC design to validate the use of ADC components offering higher sampling rates and wider word lengths to improve radar detection while also defining architectures to facilitate the faster insertion of such technology. CEI will explore what can be done to maximize the sample rate, dynamic range, and upgradability for modern airborne radars competing with new emerging threats. BENEFIT: CEI has developed software and hardware technologies for a variety of government programs, and the team has transitioned over 37 products to production for use in DoD and Government systems. CEI also has experience commercializing technology developed under Government-funded programs. Products are packaged as COTS items, listed on a catalog price sheet, supported with technical application notes and marketing materials, and made available for sale to both the commercial and Government markets. CEI will promote technologies developed under this effort as part of its standard commercial product marketing and sales activities. As further evidence of CEI"s success with commercialization of SBIR technology, the Small Business Administration presented CEI with the 2011 Tibbetts Award. This prestigious award is presented to small businesses that represent excellence in achieving the mission and goals of the SBIR and STTR program, stimulate technological innovation, and increase commercialization of Federal research. The radar parameter assessment tools and supporting hardware/software architecture resulting from Phase I and II enable rapid prototyping, development, and deployment of radar systems. The applications of the technology are as broad as the radar market in general, both Government and commercial. System applications include upgrades to airborne platforms such as AWACS, F-22, and JSF. Ground based system for air traffic control would also benefit from the ability to rapidly develop and deploy upgraded receivers. SWAP-C optimized sense-and-avoid radar solutions for UAVs are also of interest to enable operation in domestic airspace. CEI will leverage its contacts within AFRL, the FAA, and prime contractors to promote the use of the anticipated assessment tools and architecture for radar design within the restrictions of the ITAR-restricted designation.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.98K | Year: 2015

ABSTRACT:This Phase II program objectives are to develop a tool for the assessment of practical implementation of advanced radar processing algorithms and architectures (e.g., MIMO or noise radars) and to build a novel hardware sub-system to demonstrate a low SWaP modular, configurable/upgradeable architecture for data conversion and radar processing. Combined, the two objectives will provide the research and acquisition communities the ability to predict performance of novel concepts, evaluate the compatibility of various waveforms and methods to radar architectures as well as provide a path towards a deployable MOSA-based system. In addition, the two components will provide the basis for a system to evaluate new radar concepts prior to building the hardware which has applicability to any radar application including automotive and other commercial uses. This SBIR provides the initial groundwork for a radar design and emulation tool as well.BENEFIT:The CEI radar assessment tool developed for this program can be expanded to predict the performance of a wide variety of radar systems, both defense and commercial. The FMC interface board will expand the versatility of CEI's custom form factor to allow 3rd party boards to be easily integrated if they conform to the FMC standard.


Grant
Agency: Department of Defense | Branch: Missile Defense Agency | Program: SBIR | Phase: Phase I | Award Amount: 129.99K | Year: 2015

CEI along with teammates NVIDIA and Altera wish to propose the following heterogeneous CPU, GPGPU and GPFPGA system with the following six benefits: 1. CEI proposes extending the existing NVIDIA nvcc preprocessor to optimize selection of computing resources based on profiler information generated by the application. 2. CEI would propose exploring Hybrid Memory Cube (HMC) configurations that allow for low latency transfers between GPGPUs and GPFPGAs using the existing GPUDirect infrastructure. 3. CEI hypothesis is that it all performance depends on the application and needs extensive modeling and profiling to understanding. These would be heuristics that could be integrated back into key benefit #1 with nvcc extensions. 4. CEI proposes to extend UCCS and CEIs work under STTR OSD11-T01 Autonomic Performance Assurance (APA) for Multi-Processor Supervisory Control to include variables for element power consumption. 5. Overall power will be reduce dramatically over CPU/GPGPU based systems by 33% to 66% over CPU/GPGPU systems. 6. In a 4U 19 rack mount chassis, a GPFPGA co-processor system with 160 to 200 TFLOPS system could be realized for only 1600W to 2000W and approximately 100 GFLOPS/W which is 2X to 4X better than the state of the art GPGPU/CPU system. Approved for Public Release 14-MDA-8047 (14 Nov 14)


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 80.00K | Year: 2015

Drawing on its experiences with a variety of radar system designs, both as the sole designer and as a team member, Colorado Engineering, Inc. (CEI) with teammate Saab Defense and Security USA LLC, proposes to research the state-of-the-market, model, simulate, and analyze the trade-space of five alternative radar front-end designs, which all utilize band pass filters: Direct RF Sampling (DRFS) utilizing a high-speed Analog to Digital Converter (ADC); the Direct Band Pass Undersampling (DBPU) method described in the solicitation; and three variants of a design based on a conventional local oscillator (LO) down converter. Analyzing these design architectures will cover the most promising architectures using current and near-future devices. The results of the analysis derived from modeling with reference designs, utilizing Matlab and RF modeling tools (AWR VSS and Microwave Office), will be presented to the Navy to determine the best candidate design for use in Naval rotating air surveillance radar systems; including the SPS-49, in order to improve performance and reduce costs during the systems' entire lifecycle.

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