计算机仿真
計算機倣真
계산궤방진
COMPUTER SIMULATION
2009年
12期
157-159,189
,共4页
曹攀%侯宏%辛渊博%孙进才
曹攀%侯宏%辛淵博%孫進纔
조반%후굉%신연박%손진재
遗传算法%均匀线阵%优化%波达方向估计%相位匹配原理%奇异值分解法
遺傳算法%均勻線陣%優化%波達方嚮估計%相位匹配原理%奇異值分解法
유전산법%균균선진%우화%파체방향고계%상위필배원리%기이치분해법
Genetic algorithm%Uniform linear array%Optimization%DOA estimation%Signal phase matching(SPM)%Singular value decomposition (SVD)
利用遗传算法优化阵列设计来改善声目标波达方向估计性能.研究波达方向估计采用信号相位匹配原理的奇异值分解法SVDSPM,利用遗传算法对线阵进行了优化.优化时,阵列孔径不变,将阵元数目作为优化变量,优化目标是降低DOA估计误差.仿真结果标明:优化后在阵元数目减少的情况下,DOA估计偏差和均方误差更小.而且优化的阵列有好的低信噪比及宽带信号波达方向估计的能力.
利用遺傳算法優化陣列設計來改善聲目標波達方嚮估計性能.研究波達方嚮估計採用信號相位匹配原理的奇異值分解法SVDSPM,利用遺傳算法對線陣進行瞭優化.優化時,陣列孔徑不變,將陣元數目作為優化變量,優化目標是降低DOA估計誤差.倣真結果標明:優化後在陣元數目減少的情況下,DOA估計偏差和均方誤差更小.而且優化的陣列有好的低信譟比及寬帶信號波達方嚮估計的能力.
이용유전산법우화진렬설계래개선성목표파체방향고계성능.연구파체방향고계채용신호상위필배원리적기이치분해법SVDSPM,이용유전산법대선진진행료우화.우화시,진렬공경불변,장진원수목작위우화변량,우화목표시강저DOA고계오차.방진결과표명:우화후재진원수목감소적정황하,DOA고계편차화균방오차경소.이차우화적진렬유호적저신조비급관대신호파체방향고계적능력.
Genetic algorithm is used for optimization of linear array. The Algorithm for direction of arrival (DOA) estimation is the Singular Value Decomposition based on signal-phase-matching (SVDSPM). In optimi-zation, the array aperture is unchanged. The number of array element is used as variable and the aim is to reduce the error of DOA. Simulation results show that the optimized array with fewer elements has less error of DOA estimation than that of original array. In addition, the optimized array is with good performance for low Signal to Noise Ratio (SNR) and broad band frequency signal.
