摘要
为了提高宽带信号来波方向(Direction-of-arrival,DOA)估计精度并降低计算复杂度,本文结合已知的发射信号波形,提出了一种基于变换域加速粒子群最优化(Accelerated Particle Swarm Optimization,APSO)的宽带DOA估计算法,该算法适用于任意阵列和低采样率情况。首先对阵列接收数据进行匹配滤波以及傅里叶变换处理,其次根据频域宽带阵列数据模型,利用确定性极大似然(Deterministic Maximum Likelihood,DML)准则构建宽带DOA估计的空间谱函数,然后采用变换域APSO算法对空间谱函数进行最大值搜索,搜索结果即为DOA估计值。该算法无需DOA预估计,不依赖空间谱函数的梯度信息,计算复杂度低。仿真实验表明,所提算法具有高估计精度和低计算复杂度,在信噪比为20 dB时,DOA估计均方根误差为0.02°。
In order to improve the accuracy of the direction-of-arrival(DOA)estimation of wideband signals and reduce the computational cost,this paper proposed a based-on transformed-domain Accelerated Particle Swarm Optimization(APSO)wideband DOA algorithm in combination with known transmit signal waveforms,which is suitable for arbitrary arrays and low sampling rate cases.Firstly,matched filtering and Fourier Transform were performed on the received arbitrary array data.Secondly,the objective function for wideband DOA estimation was constructed with the Deterministic Maximum Likelihood(DML)criteria according to wideband array data model in frequency domain.Thirdly,the maximum value of the objective function which was the DOA estimated value was found by using the transformed-domain APSO algorithm.The proposed algorithm has low computational complexity since do without DOA pre-estimation and gradient information of the objective function.Simulation experiments show that the proposed algorithm has high DOA estimation accuracy and small computation cost.When signal-to-noise ratio is 20 decibels,the DOA estimation root mean-square error of the proposed algorithm is 0.02 degrees.
作者
刘学承
朱敏
武岩波
LIU Xuecheng;ZHU Min;WU Yanbo(Ocean Acoustic Technology Center,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Engineering Technology Research Center of Ocean Acoustic Equipment,Beijing 100190,China;State Key Laboratory of Acoustics,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China)
出处
《信号处理》
CSCD
北大核心
2022年第6期1306-1315,共10页
Journal of Signal Processing
基金
国家自然科学基金项目(61971472,61471351)
中国科学院战略性先导科技专项(A类(XDA22030101))。
关键词
来波方向估计
宽带信号
任意阵列
确定性极大似然
加速粒子群最优化
匹配滤波
direction-of-arrival estimation
wideband signals
arbitrary arrays
deterministic maximum likelihood
accelerated particle swarm optimization
matched filtering