Zixin Zhang
ABSTRACT
In this letter, we launch a novel idea for direction of arrival (DOA) of far-field narrowband and low-altitude targets with Co-prime MIMO radar. First, we propose an Unfolded Co-prime MIMO radar structure and analyze the virtual aperture of sum coarray. Refer to the conception of sum coarray, the degrees of freedom (DOF) of proposed Unfolded Co-prime MIMO radar have a great increase and can solve the angle ambiguity problem successfully and effectively. However, the traditional DOA estimation algorithm is insufficient for the angle estimation of low altitude targets, requiring prior knowledge and sacrificing the effective aperture of the array. With the development of compressed sensing theory, DOA estimation algorithm based on compressed sensing theory came into being. The paper proposed a new algorithm for DOA estimation of low altitude targets by combining compressed sensing theory with Unfolded Co-prime MIMO radar MIMO radar. As a result, the algorithm has a good performance in parameter estimation accuracy and a smaller operation. Simulation results show the superiority of the proposed algorithm.If the user is adding any new data, they should make sure to style it as per the instructions provided in previous sections.
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Index Terms
- Low-altitude targets estimation based on sparse reconstruction for Unfolded Co-prime MIMO radar
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