Abstract
detects targets by exploiting available local broadcasters and communication transmissions as illuminators, which are not designed for radar. The signal usually contains a time-varying structure, which may result in high-level range ambiguity sidelobes. Because the mismatched filter is effective in suppressing sidelobes, it can be used in a . However, due to the in the reference signal, the sidelobe suppression performance seriously degrades in a system. To solve this problem, a novel algorithm is developed using . In this algorithm, the influence of the low energy level in the reference signal is taken into consideration, and a new cost function is built based on . With this optimization, the mismatched filter weights can be obtained by minimizing the total energy of the ambiguity . Quantitative evaluations and simulation results demonstrate that the proposed algorithm can realize sidelobe suppression when there is a low-energy reference signal. Its effectiveness is proved using real data.
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