针对载频重频联合捷变体制雷达目标参数估计问题,提出了一种新的基于多重信号分类(multiple signal classification,MUSIC)算法的载频重频联合捷变雷达目标参数估计方法。通过信号模型的空时等效,将时域信号的处理等效成空域阵列信号的...针对载频重频联合捷变体制雷达目标参数估计问题,提出了一种新的基于多重信号分类(multiple signal classification,MUSIC)算法的载频重频联合捷变雷达目标参数估计方法。通过信号模型的空时等效,将时域信号的处理等效成空域阵列信号的处理,并将超分辨阵列信号处理方法应用到目标的参数估计中,从而把目标距离和速度的估计等效成阵列中二维参数的估计,解决了由于载频重频联合捷变所带来的目标参数估计难题。仿真实验表明,所提方法能有效实现对目标距离和速度的超分辨估计。展开更多
A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambig...A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the ambiguous measurements are mapped by the multiple hypothesis ranging(MHR) procedure. In this way, all the information, based on the relativity in time and pulse repetition frequency(PRF) domains, can be gathered among different PRFs and integrated over time via a batch procedure. The final step is to perform the RHT with all the extended measurements, and the ambiguous data is unfolded while the detection decision is confirmed at the end of the processing chain.Unlike classic methods, the new approach resolves the problem of range ambiguity and detects the true track for targets. Finally, its application is illustrated to analyze and compare the performance between the proposed approach and the existing approach. Simulation results exhibit the effectiveness of this approach.展开更多
文摘针对载频重频联合捷变体制雷达目标参数估计问题,提出了一种新的基于多重信号分类(multiple signal classification,MUSIC)算法的载频重频联合捷变雷达目标参数估计方法。通过信号模型的空时等效,将时域信号的处理等效成空域阵列信号的处理,并将超分辨阵列信号处理方法应用到目标的参数估计中,从而把目标距离和速度的估计等效成阵列中二维参数的估计,解决了由于载频重频联合捷变所带来的目标参数估计难题。仿真实验表明,所提方法能有效实现对目标距离和速度的超分辨估计。
基金supported by National Natural Science Foundation of China (Grant Nos. 61179018, 61372027, 61501489)Special Foundation for Mountain Tai Scholars
文摘A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the ambiguous measurements are mapped by the multiple hypothesis ranging(MHR) procedure. In this way, all the information, based on the relativity in time and pulse repetition frequency(PRF) domains, can be gathered among different PRFs and integrated over time via a batch procedure. The final step is to perform the RHT with all the extended measurements, and the ambiguous data is unfolded while the detection decision is confirmed at the end of the processing chain.Unlike classic methods, the new approach resolves the problem of range ambiguity and detects the true track for targets. Finally, its application is illustrated to analyze and compare the performance between the proposed approach and the existing approach. Simulation results exhibit the effectiveness of this approach.
