Goleta, CA, United States

Toyon Research Corp.

www.toyon.com
Goleta, CA, United States
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Grant
Agency: Department of Defense | Branch: Navy | Program: STTR | Phase: Phase II | Award Amount: 750.00K | Year: 2015

Toyon Research Corporation, together with the University of California, Santa Barbara (UCSB) propose to demonstrate a GPS-denied Local Carrier-based Precision Approach and Landing System (LC-PALS) that enables 3-D position, navigation and time (PNT) for platforms within range of an aircraft carrier equipped with one or more ADEPT-compliant beacons. Unlike the Global Positioning System (GPS), which requires four satellite signals, the Adaptive Polarized Navigation (ADEPT) waveform enables PNT with just two beacons. In addition, a single ADEPT-compliant beacon is sufficient if the platform is equipped with a good reference time source.

The Phase I effort demonstrated that LC-PALS will achieve 10-cm z-axis (altitude) accuracy, thereby enabling autonomous carrier landing capability under GPS-denied conditions. Moreover, the system has a low probability of detection and intercept (LPD/LPI), significant built-in anti-jam, anti-spoof, and multipath-mitigation capabilities, and is not prone to integer ambiguity and cycle-slip phenomenon that is of concern with other carrier-phase tracking systems. Furthermore, because the system makes use of the same hardware that is required for GPS processing, an ADEPT receiver can be fully integrated with GPS, thereby minimizing redundant hardware and enabling simultaneous operation with GPS, when available. While an inertial measurement unit (IMU) is not required for precision approach and landing, an onboard IMU can be used as an additional and complementary measurement source for improved attitude performance, especially during the end game. While the Phase I program verified the feasibility of LC-PALS, the Phase II program will demonstrate the system under realistic conditions.


Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 999.63K | Year: 2015

We propose to develop a tool for deployment planning, real-time monitoring and maintenance of tactical wireless ground sensor networks. The tool takes into account the environment (terrain, foliage, buildings, roads, and weather), sensor performance, RF propagation, waveform characteristics, and radio performance to achieve sensing and communication mission objectives. The tool determines placement and the minimum number of sensor/relay nodes needed to meet coverage requirements while meeting constraints, and optimizes sensor network power and battery life by taking into account power management, received signal strength, waveform data rates, and data routing. The planning algorithms employ an iterative approach which utilizes A* search for coarse localization and combinatorial optimization for final location fine-tuning. The algorithms account for real equipment constraints (e.g., non-omni-directional sensors, scanning sensors, radar minimum detectable velocity, and network signal strength) and optimize heterogeneous sensor sets with multiple sensor modalities, providing accurate and timely results. During Phase I we developed a prototype and demonstrated network planning. In Phase II, we will enhance the planning algorithms, incorporate real-time monitoring and maintenance, and port the capability to a tablet device and web service application. We will also perform live test of system to validate performance and accuracy of the system.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 502.71K | Year: 2015

Both military and law enforcement are showing increasing interest in a wider array of Non-Lethal Weapons such as Active Denial Technology (ADT). Such systems require electrical power for their high power millimeter-wave generating RF sources. Currently not available, a compact efficient prime power system is an enabling technology as future ADT systems look towards new, more compact solid state RF sources to reduce overall system size, weight and power. Toyon and its team members propose a Lightweight Efficient Generator (LEG) technology comprised of a heavy fuel, turbocharged, rotary engine employing a direct injection stratified charge combustion process in conjunction with a forced air cooled high power density (HPD) motor/generator and integrated power electronics. Toyon?s unique generator achieves a specific power of 4 hp/lb while the rotary engine is capable of 2 hp/lb. The system will provide 250 kW of peak power with a system weight and efficiency of 250 lbs and 31%.


Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 499.99K | Year: 2015

Toyon Research Corporation proposes a Phase II SBIR project for development and delivery of a complete prototype system which performs 3D tracking and fluorescence measurement for transgenic zebrafish. The developed prototype will include both commercial off-the-shelf (COTS) hardware selected to optimize the collection of zebrafish fluorescence measurements, and advanced algorithms for stereo fluorescence video processing. The proposed algorithms include stereo sensor calibration enabling accurate 3D tracking, fluorescence clutter suppression enabling accurate measurement of dim fluorescence signals, and 3D tracking in a track-before-detect framework for near-optimal tracking of multiple fish in dim fluorescence video. In Phase II, the developed algorithms will be implemented in C++/CUDA software for efficient processing using a commercial off-the-shelf desktop or laptop computer. During Phase II, Toyon will deliver the complete prototype to the Army and support Army personnel in using the developed system. Toyon will also pursue other government transition and commercialization opportunities for the developed technology.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2015

ABSTRACT:Missile test events provide the ability to evaluate the lethality of weapons systems in real-world conditions. While often immediately obvious whether the main goal of a test has succeeded/failed, it is much harder to analyze and understand the specific causes of success/failure. Current practices require arduous physical analysis of the target and its surroundings after the test is completed to obtain the level of detailed information needed. Among the most important metrics to analyze is Angle of Incidence (AOI). To accurately calculate AOI, 3D position/orientation of the weapon system must be precisely estimated at impact. To ensure that all test event information is fully utilized to further weapon system design and understanding, it is necessary to develop a system for providing accurate estimation and analysis of the weapon system during test event endgame. In Phase I, Toyon developed and demonstrated a video processing approach that provides highly accurate 3D target reconstruction, and 3D weapon system estimation to allow accurate 3D recreation of the entire test event endgame. In Phase II, Toyon proposes automating, extending, implementing, and demonstrating this low-cost COTS system in an prototype that allows users to fully recreate real-world test events and analyze their results with minimal effort.BENEFIT:The successful completion of this research will result in the development of a prototype sensor system that provides accurate 3D tracking and modeling capabilities for accurately measuring AOI. This sensor concept will prove invaluable for developing, testing, and analyzing current and future military weapons systems in live fire scenarios against a wide array of targets and environments. Successful development of a video based sensor system would also provide a transition path to providing AOI in tests containing moving platforms, such as maritime test events, and to several commercial applications. The system leverages very mature and rapidly progressing COTS EO/IR video sensor technology, which benefits from a large user community and decreases cost of the overall system. Additionally, utilizing video sensor technologies extends the range of potential commercialization opportunities for the developed algorithms and sensor architecture.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2015

ABSTRACT:Toyon proposes to develop a power-aware high-integrity navigation system for size, weight, and power constrained platforms, which provides improved electronic protection against broadband and narrowband jammers, as well as repeaters, spoofers, and multipath using a small-aperture antenna. Power-saving design changes are proposed to all aspects of the system, including the radio-frequency (RF) front-end, analog-to-digital conversion (ADC), anti-jam (AJ) GPS processing, correlation processing, and navigation processing. All changes are compatible with the Selective Availability Anti-Spoof Module (SAASM) and future Common GPS Module (CGM) processing. The navigation performance of the system is enhanced through new electronic support capabilities that include direction finding (DF), attitude determination, and jammer geolocalization. Anti-jam processing requirements are reduced by as much a 95%, depending on the specific circumstances. The highly integrated system design provides an ultra-tightly coupled (UTC) GPS/IMU architecture with the IMU and antenna having a common center-of-mass, thereby reducing lever-arm errors, and carrier-phase distortions are minimized through novel processing techniques. In addition, variable dynamic range algorithms reduce power consumption by matching the system dynamic range to the jammer signal power, thereby making the proposed Power-Aware Miniature Attitude-determining Anti-jam GPS/INS (MAAGI) system highly attractive for small platforms with severe size, weight and power (SWAP) constrains.BENEFIT:The Power-Aware Miniature Attitude-determining Anti-jam GPS/INS (MAAGI) system has the potential to revolutionize anti-jam GPS systems for C-SWAP-constrained systems in both civilian and military applications. The scalable design will permit the same architecture to serve diverse classes of platforms, thereby increasing the system utility and sales, and therefore reducing its cost. Furthermore, ultra-tightly coupled (UTC) GPS/INS systems have the ability to improve the anti-jam GPS performance of platforms whether or not they are capable of supporting large antenna arrays or have severe cost and power constraints.


Grant
Agency: Department of Commerce | Branch: National Oceanic and Atmospheric Administration | Program: SBIR | Phase: Phase II | Award Amount: 400.00K | Year: 2015

Toyon proposes development of a system which performs automated analysis of images for fish population monitoring and fishing regulation enforcement application. The proposed system is capable of processing images collected from autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), as well as images collected using electronic monitoring (EM) cameras used to observe fish catches landed on the decks of vessels. The proposed software prototype will include functions for assisting humans in rapidly and consistently analyzing stereo images, including automation of 3D length measurement of fish, and assisting humans in fish counting and classification applications by cueing to fish locations in video image/data streams. The proposed system is based on advanced algorithms developed in Phase I, which will be optimized and implemented in real-time software with a convenient user interface in Phase II. The software prototype will be optimized for assisting NOAA scientists in AUV imagery analysis, and Toyon will support software integration and testing in collaboration with NOAA scientists in Phase II. The utility of the algorithms for EM applications will also be tested and demonstrated, and commercialization opportunities in the commercial fishing industry will be pursued in conjunction with deployment of EM systems.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.78K | Year: 2015

ABSTRACT: In the Phase-I program, Toyon explored the capability of antenna arrays to perform direction finding (DF) of jammers in the Global Navigation Satellite System (GNSS) band (1.1-1.6 GHz). Antennas included controlled radiation pattern antennas (CRPAs) consisting of four to seven elements, plus a distributed aperture array with four asymmetrically arranged elements. The distributed array provided the best accuracy because it provides the largest effective aperture. The proposed Phase-II effort will design, build, test, and deliver distributed aperture arrays with up to 12 GNSS-band elements, off-the-shelf 12-channel digital receivers covering the GPS L1 and L2 bands, and a data processing/display/user-interface system to DF one or more jammers and to display and track the jammer location through a Windows based GUI. The array and receiver system will be suitable for testing on a UAV or ground vehicle. The system will be tested in Toyons anechoic chamber, but will ultimately be field tested at Government sites such as White Sands Missile Range. We also plan to test CRPA antennas from Phase I, since they will be plug compatible with our receiver and processing system and may be useful themselves as anti-jam GPS antennas in conjunction with jammer-location platforms. BENEFIT: Toyons approach to this SBIR focuses on developing a distributed aperture array, an accompanying set of receiver and signal processing electronics, and a user friendly GUI to display the estimated jammer locations. Toyons distributed aperture array has the potential to provide geolocation estimation accuracies that are higher quality compared to if a conventional CRPA were used. Toyons multi-channel electronics system is compatible with both distributed aperture arrays and conventional CRPAs. Toyons plan to also experiment with conventional off-the-shelf CRPAs will allow for high levels of flexibility in the development of a GPS jammer geolocating tool.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2015

ABSTRACT: Toyon Research Corporation proposes the research and development of advanced algorithms and efficient software for the detection, tracking, and geo-location of dim targets in infrared sensor data. The algorithms will provide detection of both moving and stationary targets with novel, temporal signatures based on near-optimal exploitation of high-frame-rate satellite-based IR imagery. The proposed detection and tracking algorithms are based on innovative development in a Bayesian track-before-detect framework. The geo-location algorithms are based on the coupling of mission image-to-reference frame alignment using a robust statistical algorithm, frame-to-frame feature tracking and registration, and estimation of physical sensor parameters to remove geo-registration biases. In addition, the utilization of advanced clutter modeling and rejection processes allows for the capability of detecting targets with intensities several orders of magnitude below image clutter. The developed algorithms will be implemented in efficient software libraries and delivered to the government for use in IR data exploitation processes. A prototype software application will also be developed and delivered for end-to-end demonstration of the IR sensor processing system. Toyon will provide software integration support and will perform extensive testing of all developed algorithms and software using real-world high-frame-rate IR sensor data, as well as simulated data to address algorithm limits and government interests. BENEFIT: The successful completion of this R&D will result in advanced algorithms and a real-time software implementation for detection, tracking, and geo-location of dim targets (moving and stationary) from space-based IR sensor platforms. A direct application will be insertion of the algorithm suite into existing baseline OPIR software at Air Force ground stations and/or technical intelligence labs, such as the Aerospace Fusion Center, to be used to process image data from existing sensors. The benefits of this successful R&D would be a comprehensive dim target detector to aid the Air Force in finding and locating adversarial threats, and locating threat development and test sites. This software could also be optimized for programs that use satellite sensors for surveillance such as NASIC ATEP II or the AFRL EAGLE HTI Space Experiment.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 1.50M | Year: 2016

ABSTRACT:Toyon Research Corporation proposes development of commercial satellite imagery processing algorithms and efficient software which ingests, registers, and fuses multi-source imagery, and which performs geo-registered change detection. The software will include imagery analytics to prioritize and/or filter target and/or event cues of potential interest to users, based on user input. Furthermore, Toyon proposes fielding of an application which provides these capabilities via the Cloud. The proposed cloud-based software application, Commercial Satellite Imagery-Constant Ubiquitous Exploitation (CSI-CUE), will provide tips/cues for potentially militarily relevant changes to users based on the preferences, including geographic regions of interest (ROIs), specified by the users.BENEFIT:We anticipate government users within the Air Force and other branches of the DoD and intelligence community (IC) interacting with the proposed CSI-CUE product via a web-based GUI. Personnel within non-DoD and IC branches of the US government, and US contractor personnel, once appropriately vetted, will be able to use the proposed product in much the same way as DoD and IC personnel. We anticipate that civilian applications abound, as well, including agricultural applications (e.g., crop monitoring) and scientific applications (e.g., glacier and volcano monitoring).

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