Method of radar detecting small signal based on genetic algorithm and neural network

被引：0
|
作者：
Lv, Q [1 ]
Li, JX [1 ]
Ma, XY [1 ]
机构：
[1] Acad Armored Force Engn, Beijing 100072, Peoples R China
来源：
ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 4 | 2005年
关键词：
signal detection; genetic algorithm; neural network; feature extraction; NONSTATIONARY ENVIRONMENT; CLUTTER; CLASSIFICATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To perform effective radar small signal detection in low SNR, a signal-processing model is established. In the model, the feature factors that distinguish small signal from noise are defined with whitening process and feature decomposition frequency estimation, then the RBF parameters are optimized by using genetic algorithm and GA-RBF neural network is formed to realize classification, thereby the small signal detection is completed. Results of simulation show that the detection probability is greatly increased as well as the performance of classification.
引用
收藏
页码：390 / 395
页数：6
相关论文
共 50 条
  • [31] A Fault Prediction Method Based on Modified Genetic Algorithm Using BP Neural Network Algorithm
    Liu, Qing
    Liu, Min
    Zhang, Feng
    Shen, Weiming
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 4614 - 4619
  • [32] Network Intrusion Detection Method Based on High Speed and Precise Genetic Algorithm Neural Network
    Tian, Jingwen
    Gao, Meijuan
    NSWCTC 2009: INTERNATIONAL CONFERENCE ON NETWORKS SECURITY, WIRELESS COMMUNICATIONS AND TRUSTED COMPUTING, VOL 2, PROCEEDINGS, 2009, : 619 - 622
  • [33] Optimal method of intelligent traffic signal light timing based on genetic neural network
    Wang R.
    Advances in Transportation Studies, 2021, 2021 (Special issue 1): : 3 - 12
  • [34] Genetic algorithm based neural-tuned neural network
    Ling, SH
    Lam, HK
    Leung, FHF
    Lee, YS
    IECON'03: THE 29TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1 - 3, PROCEEDINGS, 2003, : 2423 - 2428
  • [35] An optimizing BP neural network algorithm based on genetic algorithm
    Shifei Ding
    Chunyang Su
    Junzhao Yu
    Artificial Intelligence Review, 2011, 36 : 153 - 162
  • [36] An optimizing BP neural network algorithm based on genetic algorithm
    Ding, Shifei
    Su, Chunyang
    Yu, Junzhao
    ARTIFICIAL INTELLIGENCE REVIEW, 2011, 36 (02) : 153 - 162
  • [37] Neural Network Optimization Algorithm Based on Improvement Genetic Algorithm
    Wang, Ping
    Jiang, HuaLi
    2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION SYSTEMS AND APPLICATIONS, PROCEEDINGS, 2009, : 330 - 333
  • [38] A new extension detecting method based on neural network
    Zhu, QX
    Xuan, DJ
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 1526 - 1529
  • [39] A Neural Network Based Algorithm Selector for Radar Task Scheduling
    Qu, Zhen
    Ding, Zhen
    Moo, Peter
    PROCEEDINGS OF 2020 IEEE 19TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC 2020), 2020, : 119 - 124
  • [40] A Radar Jamming Recognition Algorithm Based on Convolutional Neural Network
    Liu G.
    Nie X.
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2021, 41 (09): : 990 - 998
12345