Adaptive Limiter Detection in Non-Gaussian Noise Background

DAI Zhen; WANG Ping-bo; WEI Hong-kai

doi:10.3969/j.issn.0372-2112.2020.03.002

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Adaptive Limiter Detection in Non-Gaussian Noise Background

更新时间：2025-07-16

- Adaptive Limiter Detection in Non-Gaussian Noise Background
- Acta Electronica Sinica Vol. 48, Issue 3, Pages: 426-430(2020)
- 作者机构：
  
  海军工程大学电子工程学院,湖北,武汉,430033
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.51109218)
- DOI：10.3969/j.issn.0372-2112.2020.03.002
  CLC： TN911.23
- Published Online：25 March 2020，
  
  Published：2020
- 稿件说明：
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DAI Zhen, WANG Ping-bo, WEI Hong-kai. Adaptive Limiter Detection in Non-Gaussian Noise Background[J]. Acta Electronica Sinica, 2020, 48(3): 426-430.
DOI：

DAI Zhen, WANG Ping-bo, WEI Hong-kai. Adaptive Limiter Detection in Non-Gaussian Noise Background[J]. Acta Electronica Sinica, 2020, 48(3): 426-430. DOI： 10.3969/j.issn.0372-2112.2020.03.002.

摘要

针对非高斯背景下局部最优检测（Locally Optimal Detector，LOD）结构复杂、稳健性弱的问题，对传统的限幅器进行改进，提出了一种自适应限幅检测器（Adaptive Limiter Detector，ALMD）.首先对弱信号的检测性能进行了系统研究，然后依据混合高斯模型对非高斯背景建模，在此基础上得到了限幅阈值与限幅检测性能之间的解析表达式，最后通过推导确定了最佳限幅阈值，明显提高了检测性能.仿真结果表明ALMD与LOD性能接近，但结构简单，性能稳健，适应性更强.

Abstract

Aiming at the problem that the local optimal detector (LOD) has complex detection structure and poor robustness for signal detection in Non-Gaussian noise background

an adaptive limiter detector (ALMD) is proposed based on the improvement of traditional limiter. Firstly

the detection performance of weak signal is systematically studied. Then the non-Gaussian background is modeled by the mixed Gaussian model. On this basis

the analytical expression between the clipping threshold and the detection performance is obtained. Finally

the optimal threshold is determined which leads to a significantly improvement of the detection performance. Simulation results shows that the ALMD has similar performance compared to LOD but provide relatively efficient and robustness.

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