Detecting Moving Targets in Ground Clutter Using RBF Neural Network

被引：0

作者：

Lao, Jian ^{[1
]}

Ning, Bo ^{[1
]}

Zhang, Xinchun ^{[1
]}

Zhao, Jianye ^{[1
]}

机构：

[1] Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS | 2008年 / 5264卷

关键词：

Ground clutter; Reconstruction; RBF; Burg algorithm; Notch filter; FPGA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new structure for moving targets detection and characteristics extraction in ground clutter is proposed. This structure combines Radial Basis Function (RBF) neural network. Burg algorithm, and notch filter. After dynamical reconstruction, the RBF network is used to predict the ground clutter. Spectral characteristics of the ground clutter are estimated using the Burg algorithm. We apply notch filter to cancel the interference caused by the ground clutter. Moreover, a hardware platform based on FPGA is also realized for this paper to demonstrate this proposed Structure and Sufficient details of the hardware platform are discussed. The results of simulation and hardware implementation show that the presented structure has a good performance in processing target signals mixed with the ground clutter.

引用

页码：304 / 312

页数：9

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