Performance Study of Chaotic Radar Signal Detection Based on Implicit Sampling Average Method

In automobile collision avoidance radar signal detection, chaotic binary signal waveforms are designed based on the good characteristics of chaotic signals. For binary signal detection, the detection performance of the implicit sampling average method is studied. Combining the chaotic binary signal waveform and the implicit sampling average method, the detection performance of chaotic binary signal target based on the implicit sampling average method is explored. Simulation analysis shows that compared with the correlation detection method, the implicit sampling average method has higher detection accuracy, stronger anti-interference ability, and faster operation speed.