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提出了一种无须参数配对的近场源三维参数联合估计算法。通过对阵列输出信号的四阶累积量构造矩阵进行一定的变换构造处理得到一个新的矩阵,仅需一次特征分解并利用其相应的特征值及特征向量就能估计出距离、方位、频率等三维参数。该算法无须谱峰搜索,适于任意高斯噪声环境,参数估计结果能自动配对。并且该算法无须利用阵列的中心对称结构,因而有效地避免了阵列孔径损失。最后,计算机仿真结果证实了该方法的有效性。
A joint estimation algorithm of near-field source three-dimensional parameters without parameter pairing is proposed. By constructing a matrix of the fourth-order cumulants of the array output signals to construct a new transformation matrix, a new matrix can be obtained. Only a single factorization and its corresponding eigenvalues and eigenvectors can be used to estimate the distance, azimuth, frequency, etc. parameter. The algorithm does not need peak search, suitable for any Gaussian noise environment, parameter estimation results can be automatically paired. And the algorithm does not need to use the center of the array symmetry structure, thus effectively avoiding the array aperture loss. Finally, computer simulation results confirm the effectiveness of this method.