Short-Range Detection Scheme based on FMCW Doppler Radar and Wavelet Denoising with Adapted Threshold Function

Range detection is the key to solve localization, tracking, navigation and other applications. Several solutions, such as LIDAR range sensor, is commonly used to achieve range detection. Considering that the microwave Doppler radar has the advantages of being unaffected by humidity, temperature and light variation, so it is more suitable for complex environment. The paper proposed a Frequency Modulated Continuous Wave (FMCW) Doppler radar system to perform short range detection of the target. Several methods were considered to extract the range information. According to the principle of FMCW radar, beat signal can be analyzed. Due to the complexity of the working environment, the beat signal contains various noise jamming. In order to eliminate noise contained in the beat signal, wavelet denoising method with the adapted threshold function was considered. In the frequency domain analysis, traditional FFT causes fence effects. FFT and CZT joint algorithm is proposed to suppress the influence of fence effects and improves real-time performance. The experimental results based on above methods are included in the paper.