基于改进曼彻斯特算法的二次雷达混扰信号分选

Separation of Garbled Secondary Surveillance Radar Replies Based on Manchester Algorithm

针对解决二次雷达应答信号基于曼彻斯特编码特性分选时,会出现因信号混扰时间短而导致分选算法性能下降的问题,文中在基于曼彻斯特算法的基础上提出改进方法。首先,根据信号混扰时间长度对信号进行截取,将信号处理至完全重叠状态。然后,利用信号曼彻斯特特性进行预处理,并进行高维矩阵运算,通过技巧降维实现分离矩阵求解,最终实现对原始信号的估计值求解,并可准确地估计出应答信号的到达方向。通过仿真实验表明,该算法面对混扰信号的分选能力优秀,且其性能在同相对时延时同比曼彻斯特算法具有更好的抗噪性能与分选性能。

To overcome decoding property decreasing problem of secondary surveillance radar due to the short garbling time, an im- proved method based on the Manchester decoding algorithm is proposed for separating the garbled replies. Firstly, the arriving times are established to cut out signals into the completely garbling statue. Then the preprocessing of the Manchester signal is used to carry out the high-dimensional matrix operation, and the separation matrix is solved by the technique of dimension reduction. Fi- nally, the estimation of the original signal is solved, and the arrival direction of the response signal can be estimated accurately. Numerical simulations show that the improved algorithm maintains good separation performance, and its performance is better than the MDA in separation and anti-noise in the same time delay.