摘要
在冲击噪声背景下给出了一种估计相干和非相干信源的均匀圆阵测向方法,即基于模式空间的低阶极大似然算法(MODE-FLOM-ML)。该算法对均匀圆形阵列的输出信号进行模式激励,使其成为模式空间内的虚拟阵列;在此基础上构造模式空间的分数低阶矩阵,成功地估计出信源的来波方向。为了快速求解所提的基于模式空间的测向算法,利用文化算法和粒子群算法的优点,设计了一种可快速进行多维搜索的文化粒子群算法。Monte-Carlo仿真试验证明了所提的CP-MODE-FLOM-ML方法在检测性能上优于基于模式空间的ROC-MUSIC和FLOM-MUSIC。
A novel direction finding method of uniform circular array is proposed to estimate coherent and non coherent signals in the presence of pulse noise, which is named as MODE-FLOM-ML. The mode excitation method is used to transform the uniform circular array in element space into a virtual ULA in mode space. Then a fractional lower order moment can be constructed to estimate DOA of signals successfully. For fitting the cost function of MODE-FLOM-ML, a cultural particle swarm algorithm is designed to fast search multi-division optimal values for considering the advantages of cultural algorithm and particle swarm optimization. Monte-Carlo simulations proved that the proposed algorithm can find directions of sources, and is superior to the ROC-MUSIC and FLOM - MUSIC using MODE spacing in performance.
出处
《应用能源技术》
2012年第3期16-20,共5页
Applied Energy Technology
关键词
波达方向估计
分数低阶矩
文化粒子群算法
极大似然算法
模式激励
DoA
Fractional lower order moment
Cultural particle swarm algorithm
Maximumlikelihood algorithm
Mode excitation
