Abstract
Aiming at the problems of low degree of freedom, small array aperture, and phase ambiguity in traditional coprime array direction-of-arrival estimation methods, a non-circular signal DOA estimation method based on expanded coprime array MIMO radar is proposed. Firstly, this method combines the coprime array and the MIMO radar to form transmitter and receiver array. Secondly, the array is expanded using the non-circular signal characteristics to reconstruct the received signal matrix. Then the dimensionality reduction is performed. The two-dimensional spectral peak search is converted into an optimization problem, and the optimization of the two-dimensional MUSIC algorithm is reconstructed using constraints, and a cost function is constructed to solve the problem. In addition, use the power series of the noise eigenvalues to correct the noise subspace to further improve the accuracy of the algorithm. Finally, the problem of no phase ambiguity in the method in this article is derived. Simulation experiments show that the method in this article can effectively avoid phase ambiguity, greatly improve the degree of freedom, and expand the array aperture. Compared with the traditional MUSIC algorithm and the mutual prime array MUSIC algorithm, it has better resolution and DOA estimation accuracy.
Highlights
Multiple-input multiple-output (MIMO) technology was introduced into the radar field by Lincoln Laboratory in the USA in 2003 [1], and the concept of MIMO radar was proposed
The method proposed in this article uses a coprime array as the transceiver array of the MIMO radar, which greatly increases the array aperture of the virtual array, eliminates the phase ambiguity problem caused by the array element spacing larger than half the wavelength, and significantly improves the Direction of arrival [2–6] (DOA) estimation performance
4 Results and discussion In order to verify the effectiveness of the algorithm in this article, the NRC-MIMO multiple signal classification (MUSIC) algorithm in this article is compared with the classic MUSIC algorithm and the traditional coprime array MUSIC algorithm
Summary
Multiple-input multiple-output (MIMO) technology was introduced into the radar field by Lincoln Laboratory in the USA in 2003 [1], and the concept of MIMO radar was proposed. Li et al [31, 32], respectively, proposed the ESPRIT algorithm and the unitary ESPRIT algorithm for the MIMO radar coprime array to jointly estimate the direction of departure (DOD) and the direction of arrival (DOA) This method divides the coprime array into two uniform sparse subarrays as transmitter and receiver arrays. This method uses the expanded coprime array MIMO radar model to obtain a larger virtual array when the actual number of array elements is the same This method firstly uses the characteristics of non-circular signals to reconstruct the receiver array in the MUSIC algorithm. The method proposed in this article uses a coprime array as the transceiver array of the MIMO radar, which greatly increases the array aperture of the virtual array, eliminates the phase ambiguity problem caused by the array element spacing larger than half the wavelength, and significantly improves the DOA estimation performance.
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