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本文研究了一种在有色、高斯噪声背景下,对已知信号检测的自适应逆谱滤波器加匹配滤波器方案。这种方案克服了一般自适应最佳滤波器在信号样点数较大时设备复杂,收敛困难等缺陷,可望在工程上代替常用的MTI,而带来检测性能的改善。它特别实用于噪声背景具有未知或时变参量的一阶、二阶杂波的实际应用场合。本文得出了相应自适应逆谱滤波器的算法和结构的基本形式。并对其主要特性进行了初步的计算机模拟,验证了理论的正确性。
In this paper, we study an adaptive inverse spectral filter plus matched filter for detecting known signals in the background of colored and Gaussian noise. This scheme overcomes the shortcomings of general self-adapting best filter such as complicated equipment and difficult convergence when the number of signal samples is large, which is expected to replace the commonly used MTI in engineering to improve the detection performance. It is especially useful for practical application of first-order, second-order clutter with unknown or time-varying parameters in a noisy background. In this paper, the basic form of the algorithm and structure of the corresponding adaptive in-line filter is derived. And the main characteristics of a preliminary computer simulation to verify the correctness of the theory.