Abstract:Passive radar makes full use of non-cooperative illumination source to detect targets. Reference signal purification and clutter suppression of the surveillance signal are two key steps to achieve target signal detection. To solve the problem of the sampling frequency offset in digital TV based passive radar, the signal model is first established, and the impact of the sampling frequency offset on the performance of the reference signal reconstruction is analyzed. Then how the sampling frequency offset affects the clutter suppression and the target correlation matching is mainly investigated. The simulation results show that improving the sampling frequency can reduce the symbol error rate of the reconstructed signal. Different temporal clutter suppression algorithms perform differently under the existence of sampling frequency offset. The sampling frequency offset has a greater impact on the temporal clutter rejection performance and less effect on correlation matching. Finally, the analysis results are verified by the measurement data, which also provide theoretical basis on improving the target detection performance of digital TV based passive radar.
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