匀速运动目标长时间积累检测中的解距离模糊算法研究  

Resolving Range Ambiguity in Long Time Accumulation Detection of Target Moving with Uniform Velocity

作　　者：张杨梅[1] 冯西安[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《西北工业大学学报》2016年第2期194-200,共7页Journal of Northwestern Polytechnical University

基　　金：国家自然科学基金(61271414);陕西省自然科学基金(2014JM2-6090)资助

摘　　要：针对匀速运动目标在多脉冲长时间积累检测体制下会出现的距离走动及距离模糊问题,考虑目标运动对解距离模糊的影响,将运动目标的速度参数引入同余方程组,建立了包含目标运动参数的多重脉冲重复周期回波模型,并提出了一种基于距离走动校正的解匀速运动目标距离模糊算法。该算法利用多重脉冲重复周期对运动目标进行参数估计,采用传统解模糊算法重构出带有误差的目标距离,利用脉冲重复周期之间的相互关系,校正由于目标运动而引起的目标距离估计误差,得到目标在每个脉冲重复周期中的真实距离。仿真实验表明,所提算法能够有效计算出目标距离并估计出目标运动速度,在目标模糊距离存在测量误差时也能够较为精确地估计出目标的运动参数。Long time accumulation method is a commonly used technique to detect weak target. But ambiguities may arise in both range and Doppler measurements. Furthermore,the presence of target motion causes the migration of echo envelope within multi-cycle integration time and severely affects the detection performance. For locating moving target,we establish a multi-pulse echo model based on multiple-burst sonar signal and present a range ambiguity resolving algorithm based on correcting range cell migrations. Through utilizing a set of pulse repetition intervals（ PRIs） that are not pair-wisely co-prime,we design the algorithm to recover the correct position and speed of the target moving with uniform velocity. Traditional ambiguity resolving method is used to obtain a preliminary target range,which is incorrect in the case of moving target. The proposed method corrects the reconstruction errors by evaluating the relationships among PRIs. Numerical simulation results and their analysis show preliminarily that the proposed algorithm performs well in estimating target range and velocity despite unavoidable measurement errors.

关 键 词：长时间积累 匀速运动 距离模糊 距离单元走动 

分 类 号：TN911[电子电信—通信与信息系统]