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Cui L.,Beijing Institute of Technology | Gao J.,Beijing Institute of Technology | Wang Z.,Beijing Institute of Technology | Yao D.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology
IET Conference Publications | Year: 2015

Multi-channel phased array radar has the following advantages: detection multiple target, far work distance, antiinterference capability, and sensitive response, etc. The squint SAR (Synthetic Aperture Radar) is an effective means of detection in complex background in all-weather and all-day. Multi-channel phased array radar needs the consistency of amplitude and phase. The design of the system parameter should focus on the problem of spatial variability properties of PRF and resolution design. This paper introduces the composition analysis of multi-channel phased array radar, consistency of amplitude and phase, and the design of radar system parameters. The result of flight experimentation verifies the method of system design. Source


Zhang N.,Beijing Institute of Technology | Yao D.,Beijing Institute of Technology | Yao D.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology | Li C.,Beijing Institute of Technology | Jing K.,Key Laboratory of Electronic and Information Technology in Satellite Navigation
IET Conference Publications | Year: 2015

Aiming at the characteristics of the airborne forwardsquint SAR imaging, a high-performance SAR real-time processing system is established in this paper. Firstly, in order to realize range cell migration correction (RCMC) accurately and range-azimuth decoupling in forwardsquint SAR imaging, a high-precision SAR imaging algorithm is used in this system, namely nolinear chirp scaling(NCS) algorithm. Secondly, the motion of airborne platform is unstable, so the weighted phase gradient autofocus (WPGA) algorithm is used for motion compensation. Finally, a real-time signal processor is designed which is based on the TMS320C6678 multi-core DSPs issued by TI. The processor satisfied the demands of SAR real-time imaging because of its powerful processing performance and high-speed data transmission ability. Source


Mei M.,Beijing Institute of Technology | Tian W.,Beijing Institute of Technology | Tian W.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology | Yin L.,Beijing Institute of Technology | And 2 more authors.
IET Conference Publications | Year: 2015

FMCW radar with deramping technique has many advantages comparing to traditional pulse radar. But the expressing of signal error becomes more complicated. The distortions on amplitude and phase are unavoidable for wide bandwidth and wide pulse signal, which have a serious impact on the imaging quality. Aiming at the problem of signal error correction, the echo signal model of FMCW radar with amplitude-phase error was established in this paper. The analysis of error estimation and correction were investigated in detail especially for non-linear phase error. And a practical solution was presented to reduce the effects from the distortions. The processing and results were proved through theoretical derivation and simulation analysis validation. And this method has significantly improved the range resolution and calibrated the position deviation. Additionally, this algorithm has a strong practicability, due to considering both the indicator and real-time imaging processing algorithm costs. Source


Zhao J.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology | Yuan Y.,CAS Institute of Computing Technology | Wang J.,China Academy of Space Technology | Jin Y.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology
IET Conference Publications | Year: 2015

Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challengetostorage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of BP algorithm based on TMS320C6678 DSP is proposed in this paper.We put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in BP algorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of BP algorithm has been significantly improved. Source


Jiang D.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology | Long J.,Renmin University of China | Yu W.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology | Jin Y.,Beijing Key Laboratory of Embedded Real Time Information Processing Technology
IET Conference Publications | Year: 2015

The fast and steady feature extraction and key point matching are key factors to SAR (synthetic aperture radar) image automatic registration algorithm. The real-time processing of the algorithm in SAR is one of the challenges that need to be solved urgently. This paper aims at improving the efficiency of the description of key point in SIFT algorithm. We implemented the rapid calculation of the feature extraction section in SIFT (scale invariant feature transform) based on embedded NVIDIA GPU-Tegra K1 by fully taking the advantages of multi-cores of GPU in parallel computing, floating point calculation, memory management, etc. And the speed ratio of the accelerated calculation of the SIFT feature reaches 5.5. Source

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