低多普勒目标识别难题

研究了强扰动起伏特征条件下低多普勒目标的探测与识别方法。从最大似然法的观点来看,文中提出的用于估算目标空间位置及目标返回信号多普勒频率转换估算值的方法是最佳的。该算法通过合并处理来自间隔传感器间的信号,以获得信号参数的最佳估测值。通过频域和时域分析,就有可能提取到目标在不同扰动特征和级别下的最大信息量。文章给出了该算法建模的结果,还讨论了其实际工作中的性能特性。

Problems of Low Doppler Targets Identification

The method of detection and identification of a low Doppler target under conditions of intensive disturbances having fluctuating character is investigated in this article.The proposed algorithm for calculating the estimations of the target spatial position and the Doppler frequency translation of a signal reflected from the target is an optimum from the standpoint of the maximum of likelihood.The algorithm was based on the principle of the combined processing of signals from spaced sensors in order to obtain the optimum estimations of signal parameters.The analysis is carried out both in the spectral and in the time domains which makes it possible to extract a maximum amount of information about the object under investigation with disturbances of different character and level.The results of the algorithm modeling are presented,the characteristic features of its performance in actual practice are discussed.