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MUSIC(Multiple Signal Classification)是一种超分辨率的DOA(Direction of Arrival)估计算法,其分辨率随着天线接收信号的信噪比的增大而增大。在低信噪比条件下MUSIC算法的分辨率快速下降,为解决此问题提出了一种改进的MUSIC算法,使它在低信噪比条件下有较高的分辨率。通过计算机仿真验证了改进后的算法在低信噪比条件下具有很高的分辨率,在信噪比高的条件下其分辨率也大于基本的MUSIC算法。
MUSIC (Multiple Signal Classification) is a super-resolution DOA (Direction of Arrival) estimation algorithm, the resolution of which increases with the signal-to-noise ratio of the received signal of the antenna. Under low signal-to-noise ratio (SNR), the resolution of MUSIC algorithm decreases rapidly. To solve this problem, an improved MUSIC algorithm is proposed, which makes it have higher resolution under low signal-to-noise ratio. Computer simulation shows that the improved algorithm has high resolution under low signal-to-noise ratio (SNR) and higher resolution than the basic MUSIC algorithm under high signal-to-noise ratio.