The detection and tracking of multiple small and weak targets is an important technical difficulty in radar detection.A new idea is proposed for the detection of small and weak targets in complex background.The detection performance is optimized from three aspects.Firstlytarget tracking in complex background is realized by improving the probabilistic data association algorithm.Secondlythe nonuniform clutter suppression under the condition of the squint array is realized by adaptive processing.Finallythe target tracking range is expanded and the target form is improved by analyzing the targets hidden information.Experiments show that this algorithm can be well applied to the tracking of targets with the feature of gate coincidencewhich can not only guarantee the accuracy of trackingbut also greatly improve the correlation speedand can be well used in the detection of small and weak targets in complex background.