论文部分内容阅读
提高噪声环境中邻近目标的分辨力问题,一直是雷达、声纳、地震学、通讯、生物医疗和电子学等领域里的热门课题。围绕这一问题,人们提出了不少解决方法。本文针对雷达的应用环境,提出了一种改善雷达距离分辨力的信号处理方法——修正的约束最小二乘法。该法充分利用目标回波载有的信息,通过对雷达目标系统冲激响应的估计,达到分辨邻近目标的目的。该法的中心思想是将目标在空间上的分辨问题转化为时间上目标冲激响应的估计问题,然后经过后置处理算法(双门限插值处理),以获得目标个数,相对强度及相对延时的估值。
Increasing the resolution of neighboring targets in noisy environments has been a hot topic in the fields of radar, sonar, seismology, communications, biomedicine and electronics. Around this issue, many people put forward many solutions. In this paper, aiming at the application environment of radar, a signal processing method to improve the radar range resolution is proposed, which is a modified constrained least square method. This method takes full advantage of the information contained in the target echo and achieves the goal of distinguishing adjacent targets by estimating the impulse response of the radar target system. The central idea of this method is to convert the target’s spatial resolution problem into the estimation problem of target impulse response in time, and then through the post-processing algorithm (double-threshold interpolation processing) to obtain the target number, relative intensity and relative delay When the valuation.