基于差分功率谱的雷达目标识别

2005 5th International Conference on Information Communications & Signal Processing Pub Date : 2005-12-06 DOI:10.1109/ICICS.2005.1689073

Zunhua Guo, Shaohong Li

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引用次数: 1

摘要

本文讨论了利用高分辨率雷达距离像进行目标识别的问题。本文简要介绍了计算移不变量的几种特征提取方法:双谱、微分倒谱，然后介绍了基于差分功率谱的特征提取方法。采用多层前馈神经网络模拟退火弹性传播(SARPROP)算法作为分类器。对四种不同飞机的航程轮廓进行了仿真。结果表明，基于差分功率谱的特征对雷达目标识别具有较好的鲁棒性和有效性

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Radar Target Recognition Using the Differential Power Spectrum

In this paper we discuss the problem about the target recognition by the high resolution radar range profiles. Several feature extraction methods for computing shift invariants are simply reviewed: such as bispectrum, differential cepstrum, then the differential power spectrum (DPS) based features are introduced to this study. A multi-layered feed-forward neural network with simulated annealing resilient propagation (SARPROP) algorithm is selected as classifier. Simulations are presented to identify the range profiles of four different aircrafts. The results demonstrated that the differential power spectrum based features are effective and robust for radar target recognition

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2005 5th International Conference on Information Communications & Signal Processing

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