As Moore's law meets bottlenecks, the demand for heterogeneous parallel processing systems is increasing. Field-programmable gate arrays (FPGAs) are becoming more efficient acceleration devices due to their powerf...
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As Moore's law meets bottlenecks, the demand for heterogeneous parallel processing systems is increasing. Field-programmable gate arrays (FPGAs) are becoming more efficient acceleration devices due to their powerful processing performance, and the CPU + FPGA architecture under the OpenCL framework has become the trend of heterogeneous parallel processing systems. This study focuses on the optimisation of pulse compression algorithm in FPGA based on OpenCL, which plays an important role in modern radar signal processing systems. By using double cache for ping-pang storage of data between matched filter and inverse fast Fourier transform (IFFT), an optimised processing method is proposed by using a pipeline and verify the method by using Arria 10 GX1150 FPGA with two groups of 2 GB DDR3;the results show that the proposed method can achieve 2.89x performance improvement over the conventional implementation.
Radar signal processing is usually involved in a large amount of complicate tasks processing and repeated computations. Hence, DSP chips are always used in this field because of its real-time signal processing capacit...
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ISBN:
(纸本)9789811032295;9789811032288
Radar signal processing is usually involved in a large amount of complicate tasks processing and repeated computations. Hence, DSP chips are always used in this field because of its real-time signal processing capacity. In this paper, an optimization scheme of radar pulse compression algorithm is addressed based on TMS320C6678 DSP platform. First, radar echo pulse compression algorithm is realized on DSP platform according to the MATLAB code. Then we use compile options optimization, lookup table optimization, library function optimization, algorithm optimization, and cache optimization to further increase the code efficiency. Exactly processing times are given before and after every optimization method. It can be seen from the experiment results that the processing time is distinctly decreased after optimization. The optimization methods proposed in this paper are proved to be effective.
The development of modern radar signal processing technology put forward higher requirements for processor performance. However, Moore's law encounters bottlenecks, the computational performance of general-purpose...
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ISBN:
(纸本)9789811075216;9789811075209
The development of modern radar signal processing technology put forward higher requirements for processor performance. However, Moore's law encounters bottlenecks, the computational performance of general-purpose processors is constrained and can not meet application requirements. The high-performance and low-power features of FPGA make them recently become of interest in research as a heterogeneous computing platform together with CPU. pulse compression algorithm is widely used in the field of radar signal processing, which contains a large number of floating-point computing, the processing effect largely depends on the performance of the processor. Based on Open Computing Language (OpenCL), we first evaluated the Fast Fourier Transform (FFT) of various sample sizes on Arria10 FPGA board and FPGA achieve up to 33.5 times the performance improvement compared to DSP C6678 on processing different sample size of FFT. Then we realize a 4 K x 8 K size pulsecompression processing using kernel channel. The results show that the core computation implemented on Arria10 FPGA through OpenCL is approximately 10x faster than DSP C6678 for 4 K x 8 K size pulsecompression processing.
A new radar pulse compression algorithm based on estimation theoretic principles is proposed and optimal codes for the proposed algorithm presented. The resolving power of the proposed algorithm is greatly enhanced du...
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A new radar pulse compression algorithm based on estimation theoretic principles is proposed and optimal codes for the proposed algorithm presented. The resolving power of the proposed algorithm is greatly enhanced due to the complete elimination of pulsecompression sidelobes.
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