2013International Journal of Wireless and Mobile ComputingRequires access

Fast DOA estimation method of two-dimensional wideband coherent signals

Jiaqi Zhen, Qun Ding

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Abstract

In the wideband direction-finding algorithms based on the signal subspace methods, the focusing matrix has an important effect on the performance of the estimation. This paper proposed a new method of constructing focusing matrix and the Signal to Noise Ratio (SNR) of the array was equal without any loss before and after focusing. New approach can distinguish the two targets which are close to each other even break the restriction of Rayleigh resolution limitation and has higher accuracy compared to TCT algorithm while the SNR is very low. And it adapts to arbitrary plane array, computer simulation results prove the effective performance of the method.

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What this paper is about

In the wideband direction-finding algorithms based on the signal subspace methods, the focusing matrix has an important effect on the performance of the estimation. This paper proposed a new method of constructing focusing matrix and the Signal to Noise Ratio (SNR) of the array was equal without any loss before and after focusing. New approach can distinguish the two targets which are close to each other even break the restriction of Rayleigh resolution limitation and has higher accuracy compared to TCT algorithm while the SNR is very low. And it adapts to arbitrary plane array, computer simulation results prove the effective performance of the method.

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Available abstract

In the wideband direction-finding algorithms based on the signal subspace methods, the focusing matrix has an important effect on the performance of the estimation. This paper proposed a new method of constructing focusing matrix and the Signal to Noise Ratio (SNR) of the array was equal without any loss before and after focusing. New approach can distinguish the two targets which are close to each other even break the restriction of Rayleigh resolution limitation and has higher accuracy compared to TCT algorithm while the SNR is very low. And it adapts to arbitrary plane array, computer simulation results prove the effective performance of the method.

Key concepts: Computer science, Wideband, Signal subspace, Algorithm, Subspace topology, Signal-to-noise ratio (imaging), Matrix (chemical analysis), SIGNAL (programming language)

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