عنوان مقاله [English]
Space-Time Adaptive Processing (STAP) is a fundamental technique in improving the performance of radars which are acted in the presence of severe dynamic disturbances such as clatter and jamming. STAP operation is based on very high sampling rates from signals received simultaneously from several antenna arrays and a number of pulses. Therefore, the volume of computation is very high and its implementation is difficult. In this paper, multi-vector method is proposed to reduce the amount of STAP calculations. Implementation results show that the proposed method, in addition to reducing the computational volume, leads to reduced hardware resources, reduced power consumption and increased maximum operating frequency. For example, the calculation volume for 6 antenna arrays, 10 receiving pulses and 200 range samples with a vector size of 17 is obtained 28.1 GFLOPS with maximum frequency of 278 MHz, and the computation time of 262 μs on the Arria 10 chip. Therefore, the multi-vectoring method can meet the real-time requirements of STAP weights. Angle-doppler adaptive pattern and the static test for the target detection indicate that using of the above method is very practical for calculating weights.
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