As a classical DOA (direction of arrival) estimation algorithm, the multiple signal\nclassification (MUSIC) algorithm can estimate the direction of signal incidence. A major bottleneck in\nthe application of this algorithm is the large computation amount, so accelerating the algorithm to\nmeet the requirements of high real-time and high precision is the focus. In this paper, we design an\nefficient and reconfigurable accelerator to implement the MUSIC algorithm. Initially, we propose a\nhardware-friendly MUSIC algorithm without the eigenstructure decomposition of the covariance\nmatrix, which is time consuming and accounts for about 60% of the whole computation. Furthermore,\nto reduce the computation of the covariance matrix, this paper utilizes the conjugate symmetry\nproperty of it and the way of iterative storage, which can also lessen memory access time..............
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