基于四阶累积量特征分解的空间谱估计测向方法
THE FOURTH-ORDER CUMULANTS BASED SPECTRAL ESTIMATION METHOD AND ITS APPLICATION TO DIRECTION-FINDING
-
摘要: 传统的空间谱估计测向方法大都是在二阶统计基础上提出的。而高阶累积量(cumulant)及其对应的高阶谱具有更加丰富的信息,而且对任何谱特性的高斯噪声都有很好的抑制能力。本文研究了基于四阶累积量特征结构分析的谱估计测向方法。从累积量的基本定义和性质出发,导出了基于特征分解的测向算法,并给出了模拟实验和测向系统外场实验结果。实验结果显示,基于四阶累积量方法的性能优于传统谱估计测向方法,特别是对于未知谱特性的色高斯噪声的情况。
-
关键词:
- 测向; 空间谱; 高阶累积量; 商阶谱
Abstract: Traditional approaches of spatial spectral estimation are usually based on the second-order statistics. The higher-order cumulants and the poly-spectrum have more information and are capable to reduce the Gaussian noises. In this paper, a kind of spectrum estimation method for direction-finding is presented based on the eigen-structure analysis of the fourth-order cumulants. The algorithm is derived and its performance is illustrated by both the computer simulations and the experiments of the direction-finding system. The obtained results demonstrate that the fourthorder cumumlant-based method outperforms the traditional direction-finding method, especially when the noise is unknown coloured one. -
Mendel J M. Proc[J].IEEE.1991, 79 (3):278-805[2]Pan P, Nikias C L. Harmonic decomposition methods in cumulant domains. Prot. Iat. Conf. ASSP. New York: April 1988, 2356-2359.[3]Swami A, Mendel J M. IEEE Trans. on SP, 1991, SP-39 (5): 1099-1109.[4]Porat B, Friendlander B. IEEE Trans. on SP, 1991, SP-39 (6): 2016-2024.[5]Schmidt R O. IEEE Trans. on AP, 1986, AP-34 (3): 276-280.[6]Brewer J W. IEEE Trans. on CAS, 1987, CAS-25 (9): 772-781. -
计量
- 文章访问数: 2256
- HTML全文浏览量: 157
- PDF下载量: 548
- 被引次数: 0
下载:
