西北工业大学学报
西北工業大學學報
서북공업대학학보
Journal of Northwestern Polytechnical University
2015年
5期
843-848
,共6页
吴姚振%杨益新%杨龙%王永威
吳姚振%楊益新%楊龍%王永威
오요진%양익신%양룡%왕영위
恒定束宽%干扰抑制%水下目标识别%特征提取%DEMON分析%二阶锥规划
恆定束寬%榦擾抑製%水下目標識彆%特徵提取%DEMON分析%二階錐規劃
항정속관%간우억제%수하목표식별%특정제취%DEMON분석%이계추규화
array processing%backpropagation algorithms%beamforming%computer
simulation%discrete Fourier transforms%efficiency%feature
extraction%filter banks%hydrophones%interference suppression%
target tracking%constant beamwidth%DEMON analysis%second?order
cone
水下目标辐射噪声通过阵列波束形成后易造成波形失真,且受干扰的影响,严重降低了目标的识别效果. 为此提出了恒定束宽波形保真及干扰抑制的水下目标识别方法. 该方法通过二阶锥规划方法设计恒定束宽波束形成器,用以实现波形保真并滤除干扰源的影响,结合人耳听觉感知机理和经典的DEMON分析,提取出有效反映目标类别属性的联合特征矢量. 针对直线阵,利用单水听器获得的真实目标辐射噪声,仿真了干扰条件下阵列输出信号并开展识别实验,结果表明所提出的水下目标识别方法可以有效实现目标的准确分类,且对目标形态有着良好的宽容性.
水下目標輻射譟聲通過陣列波束形成後易造成波形失真,且受榦擾的影響,嚴重降低瞭目標的識彆效果. 為此提齣瞭恆定束寬波形保真及榦擾抑製的水下目標識彆方法. 該方法通過二階錐規劃方法設計恆定束寬波束形成器,用以實現波形保真併濾除榦擾源的影響,結閤人耳聽覺感知機理和經典的DEMON分析,提取齣有效反映目標類彆屬性的聯閤特徵矢量. 針對直線陣,利用單水聽器穫得的真實目標輻射譟聲,倣真瞭榦擾條件下陣列輸齣信號併開展識彆實驗,結果錶明所提齣的水下目標識彆方法可以有效實現目標的準確分類,且對目標形態有著良好的寬容性.
수하목표복사조성통과진렬파속형성후역조성파형실진,차수간우적영향,엄중강저료목표적식별효과. 위차제출료항정속관파형보진급간우억제적수하목표식별방법. 해방법통과이계추규화방법설계항정속관파속형성기,용이실현파형보진병려제간우원적영향,결합인이은각감지궤리화경전적DEMON분석,제취출유효반영목표유별속성적연합특정시량. 침대직선진,이용단수은기획득적진실목표복사조성,방진료간우조건하진렬수출신호병개전식별실험,결과표명소제출적수하목표식별방법가이유효실현목표적준학분류,차대목표형태유착량호적관용성.
In the presence of interference, the recognition performance of underwater target radiated noise severely degrades due to waveform distortion after array beanforming. Based on constant?beamwidth and interference?suppres?sion, a new method of underwater target recognition algorithm is proposed to improve the fidelity of waveform in this paper. In this method, the second?order cone programming ( SOCP ) is exploited to deal with signal distortion of broadband constant?beamwidth beamforming. Combining SOCP with auditory filtering techniques, we extract intrinsic features of the targets to effectively distinguish them from each other. Based on array signal simulated from the ship?radiated noise collected by a hydrophone, the results and their analysis demonstrate preliminarily the effec?tiveness of the proposed algorithm in target classification.