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引用本文：

毕井章,刘溶,周希辰,等.基于GRNN和时间窗方差滤波的海杂波抑制[J].电讯技术，2014，54（7）： - . [点击复制]
BI Jing-zhang,LIU Rong,ZHOU Xi-chen,et al.Sea clutter suppression based on GRNN and time-window variance filtering[J].，2014，54（7）： - . [点击复制]

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基于GRNN和时间窗方差滤波的海杂波抑制
毕井章,刘溶,周希辰,任渊
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(南京船舶雷达研究所，南京 210015)

摘要:

为实现对海杂波的抑制，根据海杂波混沌动态特性，利用广义回归神经网络(GRNN)进行海杂波预测再对消，最后引入时间窗方差滤波。分析对McMaster大学IPIX雷达含目标实测数据的处理结果，原始数据信杂比小于等于0 dB，只采用GRNN预测对消后信杂比提高但仍有短时海杂波尖峰的影响，经过方差滤波后短时尖峰基本消失，最终信杂比提高到约11.67 dB。故所提方法对海杂波有很好的抑制效果，能够检测出湮没在海杂波中的小目标。

关键词: 海杂波抑制广义回归神经网络时间窗方差滤波预测对消

DOI：

基金项目:

Sea clutter suppression based on GRNN and time-window variance filtering

BI Jing-zhang,LIU Rong,ZHOU Xi-chen,REN Yuan

()

Abstract:

According to the chaotic dynamics of sea clutter,generalized regression neural network(GRNN) is used for sea clutter prediction and cancellation,and time-window variance filtering is applied to suppress sea clutter.Based on the analysis of processing results of radar data with target measured by Intelligent Pixel-Processing(IPIX) radar of McMaster University,the signal to clutter ratio(SCR) is not more than 0 dB.There are short-time sea clutter peaks after GRNN′s prediction and cancellation while the SCR is improved,which can almost all be removed through variance filtering.Finally,the SCR is improved to about 11.67 dB.It is concluded that the proposed method has good cancellation effect to sea clutter,which can detect small target in sea clutter.

Key words: sea clutter suppression GRNN time-window variance filtering prediction cancellation