摘要
针对高频地波雷达中出现的瞬态干扰问题,提出了基于S变换(Stockwell transforms)的瞬态干扰抑制方法.首先分析了两次FFT信号处理机制下瞬态干扰的时频特征;然后应用S变换对雷达信号进行时频分析,利用瞬态干扰在时频维扩展性不同的特点,实现瞬态干扰的检测;最后应用三层BP(Back Propagation)神经网络对海洋回波信号进行预测和恢复.该方法避免了海杂波抑制的步骤,具有计算量小、信号损失小的优点.现场实测数据分析表明,该方法能够有效抑制瞬态干扰,使回波多普勒谱信噪比提高达10dB,有效提高了雷达的抗干扰能力.
A new method based on S tansforms is proposed to suppress instantaneous interference for high frequency surface wave radar (HFSWR) application. The characteristics of instantaneous interference in time and Doppler domain were discussed within the twice-FFT signal processing framework; then S transforms was applied to outline the characteristics of instantaneous inter- ference in time-frequency domain for interference detection and excision; finally, BP neural network was used to recover the sea e- cho signals. Experiment results show that the anti-interference ability is enhanced by this method, and the SNR of Doppler spectrum is improved for about 10dB.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2014年第3期602-606,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60571065)
‘十二五’863计划(No.2012AA091701)
中央高校基本科研业务费专项资金(No.2012212020207)
关键词
高频地波雷达
瞬态干扰抑制
S变换
BP神经网络
high frequency surface wave radar
instantaneous interference suppression
S transforms
time-frequency analy-sis
BP neural network