空天预警研究学报2025，Vol.39Issue(2)：93-98,6.DOI:10.3969/j.issn.2097-180X.2025.02.004
一种FFT分频道+低通滤波的主杂波自适应估计方法
An adaptive mainlobe clutter estimation method combining FFT channelization and low-pass filtering
郭晓乐 1武正翔 1王金峰1
作者信息
- 1. 中国电子科技集团公司第三十八研究所,合肥 230088||孔径阵列与空间探测安徽省重点实验室,合肥 230088
- 折叠
摘要
Abstract
When airborne radar illuminates the background containing a large number of isolated strong points,traditional mainlobe clutter estimation methods may erroneously identify these isolated strong points as the main clutter frequency.In order to accurately estimate the main clutter frequency,an adaptive mainlobe clutter esti-mation method based on low-pass filtering is proposed.First,the received pulse signals are processed with pulse compression along the range bin dimension.Then,a fast Fourier transform(FFT)is performed on the pulse-com-pressed signals along the pulse dimension;the filtered signals are segmented along the range bin dimension,and the minimum mean value of the segment selected in each channel is taken as the FFT filter estimation value for the current channel.Subsequently,the estimated values are subjected to low-pass filtering,retaining only the low-frequency components of the data according to a certain ratio.Finally,the data with retained low-frequency components and high-frequency zeroed are used to reconstruct the Doppler distribution curve without isolated strong points.The Doppler frequency corresponding to the maximum value of the reconstructed data is identified as the Doppler frequency of the main clutter.The result of actual measurement demonstrates that,compared with traditional methods,the proposed method achieves a smaller estimation error in the main clutter Doppler frequen-cy,thus enabling more accurate acquisition of the system's main clutter frequency.关键词
机载雷达/孤立强点/主杂波/低通滤波Key words
airborne radar/isolated strong points/mainlobe clutter/low-pass filtering分类
信息技术与安全科学引用本文复制引用
郭晓乐,武正翔,王金峰..一种FFT分频道+低通滤波的主杂波自适应估计方法[J].空天预警研究学报,2025,39(2):93-98,6.
