Reliability Testing for Blind Processing Results of LFM Signals Based on NP Criterion

HU Guo-bing; XU Li-zhong; JIN Ming

doi:10.3969/j.issn.0372-2112.2013.04.019

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Reliability Testing for Blind Processing Results of LFM Signals Based on NP Criterion

更新时间：2025-07-16

- Reliability Testing for Blind Processing Results of LFM Signals Based on NP Criterion
- Acta Electronica Sinica Vol. 41, Issue 4, Pages: 739-743(2013)
- 作者机构：
  
  1. 河海大学计算机与信息学院,江苏,南京,210098
  2. 南京信息职业技术学院电子信息学院,江苏,南京,210046
  3. 河海大学计算机与信息学院江苏南京,210098
  4. 南京信息职业技术学院电子信息学院江苏南京,210046
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.04.019
  CLC： TN911.6
- Published：2013
- 稿件说明：
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HU Guo-bing, XU Li-zhong, JIN Ming. Reliability Testing for Blind Processing Results of LFM Signals Based on NP Criterion[J]. Acta Electronica Sinica, 2013, 41(4): 739-743.
DOI：

HU Guo-bing, XU Li-zhong, JIN Ming. Reliability Testing for Blind Processing Results of LFM Signals Based on NP Criterion[J]. Acta Electronica Sinica, 2013, 41(4): 739-743. DOI： 10.3969/j.issn.0372-2112.2013.04.019.

摘要

本文研究了线性调频(LFM

Linear Frequency Modulation)信号盲处理结果的可靠性检验问题

提出了一种基于纽曼皮尔逊(NP

Neyman-Pearson)准则的检验算法.先根据调制识别结果对应的信号模型构造参考信号

通过分析不同假设下参考信号与观测信号相关累加值概率分布参数的差异

利用NP准则构建检验统计量并确定相应的门限

对LFM信号盲处理结果的可靠性进行检验.计算机仿真结果表明

本算法在较低信噪比条件下

可实现对LFM信号盲处理结果的可靠性检验.

Abstract

Based on NP(Neyman-Pearson)criterion

a reliability test to evaluate the blind processing results of LFM(Linear Frequency Modulation)signals is proposed in this paper.The reference signals are constructed depending on the certain modulation model in accordance to the identified result at first.By analysis of the parameters differences from the probability distribution characteristics of the modulus of the correlation series under the different hypotheses

the reliability test problem for blind processing results of LFM signals is performed by the proposed statistic and the threshold based on NP criterion.Simulation results show that the proposed method can be used to verify the reliability for blind processing results of LFM signals at low signal-to-noise ratio.

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