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宽带主动加速运动目标的速度和时延估计实现目标识别和检测的基础。雷达、声纳和通信等目标信号表现为一种线性调频信号,需要对目标的频率时延联合参量准确估计,实现目标识别和攻击。传统方法采用脉冲测距法进行运动目标的频率时延联合参量估计,当目标出现线性宽带主动脉冲辐射时,估计性能不好。提出一种基于四阶累积量酉矩阵分析的宽带主动目标信号的频率时延联合参量估计算法。构建宽带主动目标的回波信号模型,用多个固定陷波器级联抑制干扰成份,然后检测信号,抑制干扰中的线谱成份,进行四阶累积量酉矩阵分解方法实现对目标信号的信源参数自动配对。仿真实验结果表明,采用该算法进行宽带主动目标信号的参量估计,抗干扰能力强,频率时延联合参量估计的精度较高,为提高目标识别能力奠定了基础。
Broadband speed-up and time-delay estimation of moving target to accelerate acceleration are the basis of target recognition and detection. The target signals such as radar, sonar and communication behave as a kind of chirp signal, which requires accurate estimation of joint parameters of target frequency delay to achieve target identification and attack. The traditional method uses the pulse distance measurement method to carry out the joint estimation of the frequency and delay of the moving target. When the target appears linear broadband active pulse radiation, the estimated performance is not good. A joint frequency estimation algorithm based on fourth-order cumulant unitary matrix analysis is proposed for wideband active target signals. Constructing a broadband active target echo signal model, using a number of fixed notch filter cascade suppression of interference components, and then detect the signal, the interference line spectrum components, the fourth-order cumulant unitary matrix decomposition method to achieve the target signal Source parameters are automatically paired. The simulation results show that the proposed algorithm can estimate the parameters of wideband active target signals with high anti-interference ability and high accuracy of frequency-delay joint parameter estimation, which lays the foundation for improving the target recognition ability.