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针对机载雷达空中多机动目标的检测问题,提出了一种基于RELAX算法的空中多机动目标检测与参数估计方法。该方法将重构时间采样技术与RELAX算法相结合,有效地抑制了检测过程中强信号分量对弱信号分量的影响,在待测单元内存在多个目标时,能够获得很好的参数估计结果,并且在脉冲点数有限的情况下,该方法得到的参数估计精度依然很高。同时,本文还推导了空中多机动目标参数估值的克拉美罗界(CRB),为估计结果提供了理论下限。仿真结果证明了该方法的有效性。
Aiming at the problem of airborne multi-maneuvering target detection in airborne radar, a method of airborne multi-maneuvering target detection and parameter estimation based on RELAX algorithm is proposed. This method combines reconstruction time sampling technique with RELAX algorithm and effectively suppresses the influence of strong signal components on weak signal components in the detection process. When there are multiple targets in the unit under test, good parameter estimation results can be obtained , And the accuracy of parameter estimation obtained by this method is still very high under the condition of limited pulse points. In the meantime, the article also deduces the Cramer Range (CRB) for the estimation of air maneuvering target parameters, which provides the theoretical lower bound for the estimation results. Simulation results show the effectiveness of this method.