| 摘要: |
| 针对雷达对海探测过程中目标检测困难的问题，提出了一种改进的基于自适应可调Q因子小波变换（Adaptive Tunable Q-factor Wavelet Transform，A-TQWT）的目标检测算法。首先对雷达回波数据进行自适应参数计算，用得到的参数对回波进行可调Q因子小波变换，并对小波系数进行稀疏优化处理。其次提出了能量-峰度特征(Energy-Kurtosis Feature，EKF)值来区分目标和海杂波对应小波系数的能量分布特征，计算各小波系数的EKF值。最后提出了一种阈值计算方法来区分目标与海杂波的EKF值，将与目标EKF值对应的小波系数提取出来重构目标。对实测数据进行实验后证明，相较于现有的基于可调Q因子小波变换的海杂波抑制算法，该算法在信杂比-16~-10 dB下仍能实现较高的检测性能，并在-10 dB检测概率达到1。 |
| 关键词: 雷达信号处理 海面目标检测 特征提取 自适应可调Q因子小波变换（A-TQWT） |
| DOI：10.20079/j.issn.1001-893x.241126001 |
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| 基金项目:国家自然科学基金资助项目（61801196） |
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| Improved Target Detection Algorithm Based on Adaptive Tunable Q-factor Wavelet Transform |
| LIAN Ziming,SHANG Shang,LI Yunjun,XU Huan |
| (Ocean College，Jiangsu University of Science and Technology，Zhenjiang 212003，China) |
| Abstract: |
| For the difficulty of target detection in the process of radar sea detection，an improved target detection algorithm based on adaptive tunable Q-factor wavelet transform(A-TQWT) is proposed.Firstly，the adaptive parameters of the radar echo data are calculated，and the obtained parameters are used to perform the TQWT on the echo，and the wavelet coefficients are sparsely optimized.Secondly，an energy-kurtosis feature(EKF) is proposed to distinguish the energy distribution characteristics of the wavelet coefficients corresponding to the target and sea clutter，and the EKF value of each wavelet coefficient is calculated.Finally，a threshold calculation method is proposed to distinguish the EKF value of the target and the sea clutter，and the wavelet coefficients corresponding to the target EKF value are extracted to reconstruct the target.Experiments on the measured data show that compared with the existing sea clutter suppression algorithm based on the TQWT，the proposed algorithm can still achieve high detection performance at the signal-to-clutter ratio of -16 dB to -10 dB，and the detection probability reaches 1 at -10 dB. |
| Key words: radar signal processing sea surface target detection feature extraction adaptive tunable Q-factor wavelet transform(A-TQWT) |
《电讯技术》编辑部 