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引用次数: 1

摘要

本文介绍了一种新的窄带信号定位技术。我们提出了两个新版本的传播子方法。利用交谱矩阵的代数性质,将交谱矩阵替换为由交谱矩阵的LU分解或QR分解得到的上三角矩阵。对上三角矩阵进行分区以估计传播算子。LU分解和Householder QR分解算法分别需要N3/3和2N3/3个浮点运算。与特征子空间方法(如MUSIC算法)相比,三角分解技术可以降低复杂度。仿真结果验证了所提方法的有效性。
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New versions of the propagator method
In this paper, we introduce new technique for localization of narrowband signals. We propose two new versions of the propagator method. Using its algebraic properties, the cross-spectral matrix (CSM) is replaced by the upper triangular matrix (UTM) obtained from the LU or QR factorization of the CSM. The upper triangular matrices are partitioned to estimate the propagator. The LU factorization and Householder QR factorization algorithms need N3/3 and 2N3/3 floating point operations, respectively. The triangular factorization technique can reduce the complexity when compared to eigen subspace method such as MUSIC algorithm requires N3. Simulation results are presented to verify the effectiveness of the proposed methods.
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