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相控阵雷达的非均匀脉冲串相参积累算法研究

Coherent Integration of Quasi-random Pulse Train for Phased Array Radar

【作者】 张志伟

【导师】 付佗;

【作者基本信息】 北京理工大学 , 信息与通信工程, 2015, 硕士

【摘要】 随着航天活动的日益增多,地球周围的空间环境也日趋复杂,具有多目标观测能力的相控阵雷达在空间目标检测跟踪中起着举足轻重的作用。但空间目标动辄几万公里的距离或者相对较小的RCS,也让传统相控阵雷达无能为力。为了提高相控阵雷达对微弱空间目标的检测能力,就需要对目标的多次脉冲回波进行积累,以提升目标的检测信噪比。在兼顾相控阵雷达多目标检测跟踪特点及相参积累算法的FFT快速实现特点的前提下,本文首先建立了半均匀脉冲串模型,该模型将一个脉冲串分成多个子脉冲串,每个子脉冲串内脉冲间隔均匀,而子脉冲串间非均匀。基于该回波模型,文中提出了四种相参积累算法:算法I、II、IV是全相参积累算法,算法III是半相参积累算法;算法I适用于完全非均匀的脉冲串,算法II、III、IV仅适用于本文建立的半均匀脉冲串模型。通过对四种算法的积累性能、计算复杂度的理论分析和比较,及相应的仿真分析和实验验证,得出了四种算法在实际使用中的选取原则。最后,基于空间目标的引导轨道,给出了四种积累算法在相控阵雷达对微弱空间目标积累检测中的应用。研究表明:算法II在子脉冲串间隔较小时,可以获得较优的积累性能;算法IV在子脉冲串间隔较大时,可获得较优的积累性能;而算法III在计算量和对子脉冲串间隔大小的敏感性方面占有一定的优势。

【Abstract】 The space environment around the earth is becoming more and more complexwith the increasing of space activities, and the phased array radars with multiple targetobservation ability are playing an important role in space target detection and tracking.However, against the weak targets which are tens of thousands of kilometers awayfrom the ground or have small RCS, the traditional phased array radars are powerless.To improve the performance of phased array radar for the weak target detection,accumulation is required to be performed over time to gather sufficient energy.Considering both the multi-target observation ability of phased array radar andthe fast calculation method with FFT of coherent integration, a quasi-random pulsetrain echo model is presented in this paper first, which divide the pulse train into a fewsub-pulse-trains (time is uniform within the sub-pulse-train while nonuniform amongsub-pulse-trains). Then, this article proposes four coherent integration algorithmsbased on this model. Algorithm I, II, IV are coherent integration algorithms whilealgorithm III is associated coherent-noncoherent integration algorithm. Algorithm I issuitable for the completely nonuniform pulse train while algorithm II, III, IV can beapplied to this model only. We conclude the principles in practical application forselection of the four algorithms according to the theoretical analysis of integrationperformance and computational complexity, and the simulation analysis andexperimental verification. Finally, we present the application of phased array radar inintegration and detection for the weak space target based on its lead orbit.According to the research, algorithm II can reach a better performance when theinterval between sub-pulse-trains is small, and algorithm IV can obtain a betterperformance when the interval between sub-pulse-trains is big, and algorithm III canget an outstanding performance in the aspect of computation and sensitivity to theintervals among sub-pulse-trains.

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