乘积型指数滤波器及其在多目标时延估计中的应用

指数滤波器是一类新构造出来的输出信噪比和目标时延分辨力随指数变化的滤波器，该滤波器在损失一定输出信噪比的前提下可以有效提高目标时延分辨力，从而提高目标时延估计精度,但仅采用单个指数滤波器仍存在输出信噪比和目标时延分辨力均达不到实际需求的情况。在乘积型高阶模糊函数乘积运算的启发下，在指数滤波器的基础上提出了一种新的乘积型指数滤波器，并分析了该乘积型指数滤波器的输出信噪比及目标时延分辨力等性能。仿真实验表明，所提的乘积型指数滤波器在低信噪比情况下可以更有效提高多目标时延估计精度，且算法简单易于实现，适用于背景复杂的多目标参数估计任务。

Product exponential filter and its application in multi-target delay estimation

The exponent filter is a newly proposed filter,whose output signal-to-noise ratio(SNR) and target delay resolution changes when the exponent changes. With loss of a certain output SNR,the exponent filter can effectively improve the range resolution so as to improve the estimation precision of the delay estimation. However,in some cases,the output SNR and the delay resolution of only a single exponent filter still cannot reach the actual demand. Inspired by the product operation of the product high-order ambiguity function,the advantages of multiple exponent filter is integrated to form a product exponential filter,and the output SNR and range resolution of this filter is analyzed. The simulation results show that the proposed product exponential filter has a better delay estimation performance than the conventional matched filter in a certain input SNR situation,and it is suitable for multi-target delay estimation in complex background as its algorithm is simple to achieve.