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
  • [41] Signal Sorting Algorithm of Hybrid Frequency Hopping Network Station Based on Neural Network
    Wang, Zhongyong
    Zhang, Beibei
    Zhu, Zhengyu
    Wang, Zixuan
    Gong, Kexian
    [J]. IEEE ACCESS, 2021, 9 : 35924 - 35931
  • [42] A Fault Prediction Method Based on Modified Genetic Algorithm Using BP Neural Network Algorithm
    Liu, Qing
    Liu, Min
    Zhang, Feng
    Shen, Weiming
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 4614 - 4619
  • [43] STRAWBERRY MATURITY NEURAL NETWORK DETECTNG SYSTEM BASED ON GENETIC ALGORITHM
    Xu, Liming
    Zhao, Yanchao
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2, 2009, 295 : 1201 - 1208
  • [44] Research of Camera Calibration Based on Genetic Algorithm BP Neural Network
    Yao, Hengfeng
    Zhang, Zhibin
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2016, : 350 - 355
  • [45] Unsupervised Segmentation of Satellite Images Based on Neural Network and Genetic Algorithm
    Ganesan, P.
    Rajini, V.
    Sathish, B. S.
    Kalist, V.
    [J]. INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES, 2015, 309 : 319 - 326
  • [46] The research on network security detection based on improved genetic neural algorithm
    Hui-fen, Liao
    [J]. Advances in Information Sciences and Service Sciences, 2012, 4 (13): : 69 - 75
  • [47] Magnetotelluric inversion based on BP neural network optimized by genetic algorithm
    Wang He
    Liu MengLin
    Xi ZhenZhu
    Peng XingLiang
    He Hang
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2018, 61 (04): : 1563 - 1575
  • [48] Model for tomato photosynthetic rate based on neural network with genetic algorithm
    Hu, Jin
    Xin, Pingping
    Zhang, Siwei
    Zhang, Haihui
    He, Dongjian
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2019, 12 (01) : 179 - 185
  • [49] The Research and Application of the Fuzzy Neural Network Control Based on Genetic Algorithm
    Zhang, Yong-chao
    Zhao, Wen-zhuang
    Chen, Jin-lian
    [J]. MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 191 - +
  • [50] Secondary pendulum control system based on genetic algorithm and neural network
    Li Ye
    [J]. 2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 178 - 181
12345