低截获概率雷达信号检测方法的优化及应用

李娜; 王珂; 李保珠

doi:10.3788/OPE.20142211.3122

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低截获概率雷达信号检测方法的优化及应用

信息科学 | 更新时间：2020-08-13

- 低截获概率雷达信号检测方法的优化及应用
- Optimization and application of LPI radar signal detection method
- 光学精密工程 2014年22卷第11期页码：3122-3128
- 作者机构：
  
  1. 吉林大学通信工程学院,吉林长春,中国,130012
  2. 空军航空大学,吉林长春,130022
- 作者简介：
- 基金信息：
  
  吉林省教育厅"();十二五"();规划春苗专项资金资助项目()
- DOI：10.3788/OPE.20142211.3122
  中图分类号： TN957.51
- 收稿日期：2014-07-10，
  
  修回日期：2014-08-15，
  
  纸质出版日期：2014-11-25
- 稿件说明：
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李娜, 王珂, 李保珠. 低截获概率雷达信号检测方法的优化及应用[J]. 光学精密工程, 2014,22(11): 3122-3128

LI Na, WANG Ke, LI Bao-zhu. Optimization and application of LPI radar signal detection method[J]. Editorial Office of Optics and Precision Engineering, 2014,22(11): 3122-3128
李娜, 王珂, 李保珠. 低截获概率雷达信号检测方法的优化及应用[J]. 光学精密工程, 2014,22(11): 3122-3128 DOI： 10.3788/OPE.20142211.3122.

LI Na, WANG Ke, LI Bao-zhu. Optimization and application of LPI radar signal detection method[J]. Editorial Office of Optics and Precision Engineering, 2014,22(11): 3122-3128 DOI： 10.3788/OPE.20142211.3122.

摘要

针对利用循环谱理论检测低截获概率(LPI)雷达信号存在计算量大的问题

提出了一种优化的快速傅里叶变换(FFT)累积算法来更新信号处理设备的软件程序。分析了原软件中信号处理的过程

提出了采用并行流水型结构的优化方法;利用前一个滑动窗口内采样信号的FFT

推导出下一时刻采样信号序列的FFT;通过减少重复采样点

减少计算量。然后

利用循环谱检测中4个象限的循环谱的对称性

减少计算象限数

并采用一维搜索进行峰值检测

从而进一步减少计算量。理论推导显示

改进方法减少了计算复杂度和计算量。最后

利用提出的方法对常用的线性调频(LFM)和二进制相移键控(BPSK)信号进行了分析。结果表明

在相同条件下

利用改进的算法及一维搜索

计算时间可缩短为原算法的1/25左右。另外

算法改进后检测信号的幅度值仅减小了不到10%

不影响后续处理对循环谱参数的估计。

Abstract

As Low-Probability-of-Intercept (LPI) signal detection algorithm based on cyclic spectrum theory has a very large amounts of calculation

this paper proposes an optimized algorithm

Fast Fourier Transform(FFT) accumulation

to update the software program. The signal processing of the original software is analyzed

and the new algorithm based on a parallel signal processing structure is proposed. The new algorithm derives the next FFT sampling signal sequence by the previous FFT sampling signal sequence in a sliding window. By reducing the repeated sampling points

the new algorithm reduces the amount of calculation. In view of the symmetry of the four quadrant of the cyclic spectrum

the quadrant to be calculated is decreased. Moreover

by using one-dimensional search peak detection

the amount of calculation is reduced further. Theoretical derivation demonstrates that the complexity and calculation amounts of the proposed algorithm are reduced obviously. Finally

through verifying the Linear Frequency Modulation (LFM) and Binary Phase Shift Keying(BPSK) signals

it indicates that the calculation time is reduced to about 1/25 that of the original algorithm. In addition

the amplitude values of signals in the optimized algorithm are reduced less than 10%

which not affects the estimation of parameter of a cyclic spectrum.

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Keywords

references

贾维敏,姚敏立,宋建社. 信号循环稳特性及其应用[J]. 现代雷达,2005,27(9):35-39. JIA W M, YAO M L, SONG J SH. Cyclostationarity of signals and applications[J]. Mordern Radar, 2005,27(9):35-39.(in Chinese)

GARDNER W. Exploitation of spectral Redundancy in cyclostationary signals[J].IEEE Signal Processing Magazine,1991, 8(2):14-36.

郭裕兰,万建伟,鲁敏,等. 激光雷达目标三维姿态估计[J]. 光学精密工程,2012,20(4): 843-850. GUO Y L, WAN J W, LU M, et al.. Three dimensional orientation estimation for radar target[J]. Opt. Precision Eng., 2012,20(4): 843-850.(in Chinese)

张文秀,林君,周逢道,等. 分布式电磁接收系统多频标定信号的产生与检测[J]. 光学精密工程,2012,20(8):1862-1869. ZHANG W X, LIN J, ZHOU F D, et al. Generation and detection of multi-frequency calibration signal for distributed electromagnetic receiver[J]. Opt. Precision Eng., 2012,20(8):1862-1869.(in Chinese)

DANDAWATE A V. Testing for presence of kth-order cyclostationarity[C]. IEEE Signal Processing Workshop on Higher-Order Statistics, 1993: 240-244.

黄春琳,姜文利,周一宇. 对低截获概率相位编码信号检测的有限多循环检测器[J]. 电子学报,2002, 30(6):916-918. HUANG CH L, JIANG W L, ZHOU Y Y. Finite multicycle detector of LPI phase-coded signals[J]. Acta Electronica Sinica, 2002,30(6): 916-918.(in Chinese)

金艳. 低截获概率信号的循环平稳检测与参数估计研究[D]. 西安电子科技大学,2008. JIN Y. Research on Detection and Parameter Estimation of Low-Probability-of-Intercept Signals Based on Cyclostationarity[D]. Xi'an:Xi'an Universityof Electronic Science and Technology,2008. (in Chinese)

LIN L, JI H B. Radar emitter recognition based on cyclostationary signatures and sequential iterative least-square estimation[J]. Expert Systems with Applications,2011:2140-2147.

PRITHIVIRAJ V, SARANKUMAR B, KALAI-YARASAN A, et al.. Cyclostationary analysis method of spectrum sensing for cognitive radio[C].IEEE Wireless VITAE,2011:1-5.

郑鹏,张鑫,刘锋,等. 基于循环谱的MPSK信号盲检测[J]. 计算机仿真,2012,29(4):130-137. ZHENG P,ZHANG X, LIU F, et al.. Blind detection of MPSK signals based on cyclic spectrum[J]. Computer Simulation,2012,29(4): 130-137. (in Chinese)

林炜,彭华,王彬,等. 一种基于循环谱的突发信号盲检测算法[J]. 信号处理,2011, 27(12):1920-1924. LIN W, PENG H, WANG B, et al.. A blind detection algorithm of burst signal based on cyclic spectrum[J].Journal of Signal Processing,2011, 27(12):920-1924. (in Chinese)

王红军,毕光国. 一种改进的认知无线电循环功率谱特征检测算法[J]. 信号处理,2010,26 (12):1864-1869. WANG H J, BI G G. A modified cyclic power spectrum feature detection algorithm for cognitive radio[J].Journal of Signal Proceeding,2010, 26(12):1864-1869. (in Chinese)

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