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一种基于正交信号的角估计算法 被引量:2

A DOA Estimation Method Based on Orthogonal Signal
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摘要 稀布阵综合孔径脉冲雷达(SIAR)是新体制雷达多输入多输出(MIMO)雷达的一种,SIAR发射的是正交信号,对于基于正交信号雷达的方向估计,因为其方向向量不仅与接收导向向量有关,而且还与发射导向向量有关,因此传统MUSIC等超分辨算法不能够直接应用。Gram-Schmidt算法是数值计算的一种重要算法,通过理论分析以及仿真结果表明,该算法可以直接应用于基于正交信号雷达的测向,而且在未知目标的个数和小样本的条件下,依然有较好的测角性能。 SIAR is a kind of MIMO radar and its transmit signal is orthogonal signal. The classical MUSIC algorithm and some super resolution algorithms can't be used in DOA estimation based on orthogonal signal radar, because the system steering vector correlates with transmit and receive steering vectors. Gram- Schmidt algorithm is an important math algorithm. In this paper, the principle of the algorithm is firstly introduced, and then the simulation result is used to demonstrates the effectiveness and efficiency of the algorithm. The direction finding performance is good all the same even in the case of unknowing the target number and a few samples.
出处 《雷达科学与技术》 2010年第2期129-132,共4页 Radar Science and Technology
关键词 正交信号 方向估计 GRAM Schmidt正交算法 MUSIC算法 orthogonal signal DOA estimation Gram-Schmidt algorithm MUSIC algorithm
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参考文献8

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共引文献40

同被引文献21

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