Scholarlink

In this paper, we focus on the problem of target detection with interference in Gaussian background. For achieving better performance under the condition of small independent identically distributed (IID) training samples number, the receiving data is reduced in dimension and the oblique projection method is used to suppress the interference. Then the adaptive detector is obtained by Wald criterion. Finally, the mathematical expressions of the detection probability and the false alarm probability of the detector are given. Simulation results show that the proposed detector achieve better detection performance with insufficient number of training samples.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Adaptive Dimension Reduction Detector with Interference in Gaussian Background

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Haifeng Yang,
  • Buqiu Tian,
  • Tao Jian,
  • Zhongying Ruan,
  • Xionghua Fan,
  • Xia Wu

摘要

In this paper, we focus on the problem of target detection with interference in Gaussian background. For achieving better performance under the condition of small independent identically distributed (IID) training samples number, the receiving data is reduced in dimension and the oblique projection method is used to suppress the interference. Then the adaptive detector is obtained by Wald criterion. Finally, the mathematical expressions of the detection probability and the false alarm probability of the detector are given. Simulation results show that the proposed detector achieve better detection performance with insufficient number of training samples.