中文摘要：

针对滤波器非理想特性等因素带来的信道化失真对信号侦察的影响,为实现信号参数高精度估计以及波形的准确恢复,提出了基于基追踪算法的宽带LFM信号信道化侦察方法。该方法以l1范数稀疏正则最小二乘模型为目标函数,推导了问题的二阶锥规划（Second order cone programming,SOCP）形式,将各子带输出信号在过完备Gabor原子字典上展开,完成对原信号准确的参数估计与分解重构。仿真实验证明,该方法实现了对信号准确的时频分析与参数估计,通过稀疏原子（较小数据量）准确重构了原宽带信号,并在一定程度上减小信道化失真的影响。

英文摘要：

The non-ideal properties of a filter lead to channelization distortion, which affects signal detec- tion. In order to achieve high precision signal parameters estimation and waveform recovery accurately, a method of channelized detection of WLFM signal based on basis pursuit is presented. The method uses ll norm sparse regular least squares model and deduces the SOCP form of the model. It expands the output signals of each subband over complete Gabor atom dictionary and achieves the parameter estimation and decomposition and reconstruction of the original signal. Simulation results show that the proposed meth- od realizes the accurate time-frequency analysis and parameter estimation of the signal, reconstruct original wide band signal through sparse atoms （less data） and reduces the impact of channelization distortion to some extent.