Abstract
In this paper, we initiated a method to estimate the direction of arrival (DOA) of far-field, narrowband, and incoherent targets using coprime array. First, we proposed a coprime array structure and analysed the distribution of difference coarray (DCA). The degrees of freedom (DOF) of the proposed coprime array became clearer by referring to the DCA conception. However, previous algorithm only uses the continuous virtual array, which causes the virtual array elements in the repeated position being abandoned. Therefore, the paper analyses the distribution of virtual array based on DCA conception and averages the receiving signal on these redundant virtual array elements to increase the utilization of receiving data. As a result, the algorithm has high precision in parameter estimation. Simulation results have shown the superiority of the proposed algorithm.
Highlights
Because sparse arrays can overcome the limitation of interelement spacing, direction of arrival (DOA) estimation based on it has attracted great attention
The algorithm resolution with conventional coprime array (CPA) structure is better than the uniform linear arrays (ULAs) referring to the higher array aperture
A new algorithm via reusing the redundant virtual array elements is proposed for DOA estimation of uncoherent targets. is method averages the virtual array elements in the repeated position
Summary
Because sparse arrays can overcome the limitation of interelement spacing, direction of arrival (DOA) estimation based on it has attracted great attention. Larger array element spacing expands the virtual aperture, which leads to the rise in the number of detectable sources and angle resolution It can effectively suppress the mutual coupling effect of array elements and the coherence of received noise. All of the algorithms above focused either on improving the array structure to obtain higher DOFs and larger virtual array aperture or on reducing the complexity by avoiding spatial spectrum search and so on. We take the coprime array with the difference coarray (DCA) as an example to illustrate the redundant virtual array elements distribution and average the virtual elements in the repeated position to increase the utilization efficiency of received signal data. The snapshots of received signal have increased, and the DOA estimation performance of targets is improved noticeably
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