CAJ | 학술논문

无源雷达是一种本身不发射电磁波，而是利用外部辐射源信号进行探测的雷达系统，具有隐蔽性好、抗电磁干扰、抗隐身技术等优点。为了实现可靠目标探测，通常先对回波信号进行杂波对消，然后计算剩余回波和参考信号的互模糊函数。在基于大带宽信号源、相干累积时间较长、多波束同时处理的无源雷达系统中，常规方法需要较大的计算量和存储空间，不利于实时实现。该文研究了基于最小均方误差(Minimum Mean Square Error, MMSE)准则的杂波对消算法与基于互模糊函数的相干累积检测算法之间内在数学关系，提出一种降低计算量和存储量的联合优化方法，给出了在 NVIDIA CUDA(Computing Unified Device Architecture)平台上的实现，用实测结果论证了该文方法的高效性、实时性，并已应用于工程中。
무원뢰체시일충본신불발사전자파，이시이용외부복사원신호진행탐측적뢰체계통，구유은폐성호、항전자간우、항은신기술등우점。위료실현가고목표탐측，통상선대회파신호진행잡파대소，연후계산잉여회파화삼고신호적호모호함수。재기우대대관신호원、상간루적시간교장、다파속동시처리적무원뢰체계통중，상규방법수요교대적계산량화존저공간，불리우실시실현。해문연구료기우최소균방오차(Minimum Mean Square Error, MMSE)준칙적잡파대소산법여기우호모호함수적상간루적검측산법지간내재수학관계，제출일충강저계산량화존저량적연합우화방법，급출료재 NVIDIA CUDA(Computing Unified Device Architecture)평태상적실현，용실측결과론증료해문방법적고효성、실시성，병이응용우공정중。
Passive radar exploits an external illuminator signal to detect targets. It has the advantages of silence, anti-interference, and counter-stealth ability. In most cases, direct and multipath clutters should be suppressed first. Then coherent detection can be made by performing a cross-ambiguity function of the remaining target echoes and the reference signal. However, under a wide-band signal, a long-integration time, or multi-beam circumstances, a large number of computations and amount of memory is required for normal processing. This paper expresses the mathematical relationships of clutter suppression algorithms based on the Minimum Mean Square Error (MMSE) principle and coherent detection algorithms based on the cross-ambiguity function. Herein, a joint-optimize and processing method is presented. This method reduces the number of computations and amount of memory required, is easy to implement on GPU devices such as CUDA, and will be useful for engineering applications. Its high-efficiency and real-time properties are validated in the experimental results.