CW脉冲回波信号的最小方差无畸变响应自适应检测

建立了适用于解析时间序列信号检测的最小方差无畸变响应(Minimum Variance Distortionless Response,MVDR)自适应处理模型(Time Series MVDR,TSMVDR),并针对CW声纳脉冲回波信号,通过构造解析信号和分段近似处理给出了相应算法(Algorithms of TSMVDR on CW pulse signal,AWMVDR),并进行了数值仿真研究。研究结果表明:对于CW脉冲信号:(1)在较高采样率的条件下,AWMVDR可以实现CW脉冲信号稳定的自适应检测;(2)AWMVDR较常规线性相关检测具有更高的脉冲参数估计精度和时间分辨力;(3)AWMVDR的实现需要付出较高采样率和更大计算量的代价。

Adaptive minimum variance distortionless response detection of CW pulse echo signal

Adaptive MVDR processing model （Time Series MVDR,TSMVDR） is established to detect analytical time series signals,the corresponding algorithms （Algorithms of TSMVDR on CW pulse signal,AWMVDR） is presented by constructing analytic signal and approximate segment processing,and the numerical simulation is carried out.The results indicate that i.AWMVDR can realize the adaptive detection of single Chirp pulse signal.ii.Contrasting to traditional Match Filter,AWMVDR has much higher estimation precision of pulse parameters and time resolution.iii.AWMVDR works at the expense of high sampling rate and large calculation.