基于单声学矢量传感器的最大能量动态声源波达方向跟踪算法

针对在空域非均匀噪声环境下目标定位跟踪问题,提出一种基于单声学矢量传感器的最大能量动态声源波达方向(DOA)跟踪算法.首先结合噪声协方差矩阵估计结果实现对传感器接收信号的预白化处理,进而确定加权参数值,提出一种加权参数固化的最大能量算法,从而在声压与振速域噪声功率比未知的条件下提高了DOA估计精度.在此基础上,利用最大能量定向估计子输出信息来构建运动目标的量测方程,并在容积Kalman滤波框架下实现对于动态声源的状态跟踪.理论分析与仿真结果验证了算法的可行性和有效性.

Maximum power dynamic acoustic source direction-of-arrival tracking algorithm based on acoustic vector sensor

To effectively locate and track the target in spatially non-uniform noise, we propose the maximum power dynamic acoustic source direction-of-arrival (DOA) algorithm based on the acoustic vector sensor. In this algorithm, according to the estimated noise covariance, the measurement of acoustic vector sensor is pre-whitened and the weight parameter is determined. Thus, a maximum power algorithm based on fixed weight parameter (WPF--MP) is formed. The accuracy of DOA estimation is improved when the power ratio of the sound pressure to the noise power in the velocity domain is unknown. Moreover, the output of the maximum power DOA estimator is employed to build the measurement equation of the dynamic source in the system of polar coordinates; and the cubature Kalman filtering algorithm is introduced to realize the state-tracking of the dynamic sound source. Theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.