一种改进的自适应匹配滤波方法

doi:10.3969/j.issn.1001-2400.2018.01.003

Abstract

Abstract:

In order to overcome the detection degradation for the conventional detectors in the limited-training environment, a modified adaptive matched filter is proposed by modeling the disturbance as an autoregressive process with unknown parameters. The detector is derived by resorting to a two-step design procedure: first derive the generalized likelihood ratio test under the assumption that the parameters of the autoregressive process are known, and then, the maximum likelihood estimates of the parameters, based on the training data, are substituted in place of the true parameters into the test. The detection performance of the new receiver shows that the proposed receiver can lead to a noticeable performance improvement over the conventional adaptive matched filter. For a moderate size of radar echoes, the proposed detector performs close to the optimum matched filter even in the limited-training environment.

Key words: radar detection, adaptive matched filter, autoregressive process

WANG Zeyu;LI Ming;LU Yunlong. Modified adaptive matched filter[J].Journal of Xidian University, 2018, 45(1): 12-16+82.

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Modified adaptive matched filter

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