科研之友
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摘要
Under the condition of strong clutter and finite training samples, a novel CFAR detector based on the proposed adaptive pulse compression-Capon filter (APC-Capon filter) is presented for MIMO array radar which transmits intrapulse coded waveforms. Both theoretical analysis and numerical simulations show that the proposed APC-Capon filter can utilize the non-reiterative adaptive pulse compression technique to alleviate both range sidelobes and mutual interference; at the same time it also can borrows ideas from the coherent signals cancellation of adaptive beamforming to perform clutter suppression. The detection performance simulations show that, with the same size parameters (including code length and the numbers of transmitter elements, receiver elements as well as pulses), the proposed CFAR detector is inferior to the adaptive matched filter (AMF) detector. But as the size parameters increase, the proposed CFAR detector will gradually outperform the AMF detector with smaller size parameters, and more importantly, unlike the AMF detector which has a lot of difficulties in performing due to the inordinate demands for the computational complexity and training sample size, this demands of the proposed CFAR detector will not significantly increase. The simulations also show that, the correlation properties of these intrapulse coded waveforms have certain effect on the APC-Capon filter and its corresponding CFAR detector. But fortunately, the effect will decrease as the number of intrapulse coded waveforms increases.
- 出版日期2011-11
- 单位中国人民解放军海军航空工程学院
