物理学报Issue(10)：1-7,7.DOI:10.7498/aps.63.100505
一种混沌海杂波背景下的微弱信号检测方法∗
A metho d of weak target detection based on the sea clutter
摘要
Abstract
According to the phase space reconstruction theory of nonlinear system, we propose a prediction method of support vector machine based on genetic algorithm. Using the improved autocorrelation method and Grassberger-Procaccia algorithm to determine the time delay and embedding dimension of chaotic signal, the phase space reconstruction is implemented. The penalty coefficient and the kernel function parameter of support vector machine are optimized by genetic algorithm. Combined with support vector machine, single-step prediction model of the chaotic sequence is set up, so we can detect the weak signal in chaos from the prediction error (including the transient signal and periodic signal). Lorenz attractor and the data from the McMaster IPIX radar sea clutter database are used in the simulation. The proposed method can effectively detect the weak target from chaotic signal. When the signal-to-noise ratio is−89.7704 dB in the chaotic noise background, by using the new method the root mean square error can be reduced by two orders of magnitude, reaching 0.00049521, while the conventional support vector machine can reach only 0.049 under the condition of−54.60 dB.关键词
支持向量机/遗传算法/海杂波/相空间重构Key words
support vector machine/genetic algorithm/sea clutter/phase space reconstruction引用本文复制引用
行鸿彦,朱清清,徐伟..一种混沌海杂波背景下的微弱信号检测方法∗[J].物理学报,2014,(10):1-7,7.基金项目
国家自然科学基金(批准号:61072133)、江苏省产学研联合创新计划(批准号：BY2013007-02, BY2011112)、江苏省高等学校科研成果产业化推进计划(批准号：JHB2011-15)和江苏省“六大人才高峰”计划资助的课题.@@@@ Project supported by the National Natural Science Foundation of China (Grant No.61072133), the Production, Learning and Research Joint Innovation Program of Jiangsu Province, China (Grant Nos. BY2013007-02, BY2011112), the Indus-trialization of Research Findings Promotion Program of Institution of Higher Education of Jiangsu Province, China (Grant No. JHB2011-15), and the “Summit of the Six Top Talents” Program of Jiangsu Province, China （批准号:61072133）
