Adaptive Detection with Subspace Constrained Rank one Interference of the First Order
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摘要: 在复杂电磁环境中，雷达获取的回波数据若受到干扰，会影响到雷达的探测性能。该文针对雷达目标自适应检测问题，假定待检测单元和部分参考数据受到1阶秩1干扰，且干扰约束在某个已知的子空间内。首先基于双步广义似然比(2SGRLT)准则，提出子空间约束(SC)的2SGLRT检测器(SC-2SGLRT)。进一步采用修正的双步广义似然比(M2SGLRT)准则，提出子空间约束的M2SGLRT检测器(SC-M2SGLRT)，该检测器的性能明显优于SC-2SGLRT。最后基于3步(3S)广义似然比检验准则，提出子空间约束的3步广义似然比检测器(SC-3SGLRT)，该检测器性能与SC-2SGLRT相当，且计算量最小。计算机仿真分析表明，充分利用参考数据和干扰先验信息，有助于提升检测性能。Abstract: In the complex electromagnetic environment, the radar returns may contain some interference components, which leads to the detection performance degradation. In this paper, considering the adaptive detection problem, where the cell under test and a portion of the reference data are contaminated by the rank one interference of the firs order, constrained in a known subspace. Base on the 2-Step Generalized Likelihood Ratio Test (2SGLRT) criterion, a Subspace Constrained (SC) 2SGLRT(SC-2SGLRT) detector is proposed. Furthermore, using a Modified 2SGLRT (M2SGLRT), a SC-M2SGLRT detector is proposed, which has a better detection performance than 2SGLRT. Finally, using the so called 3SGLRT criterion, a SC-3SGLRT detector is proposed, whose detection performance is similar to the 2SGLRT, but with very small computation load. The computer simulation results show that, to make full use of all reference data and a prior information of the interference is helpful to improve the detection performance.
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