Improved subspace bearing estimator for MIMO array

Lijie Zhang · Systems engineering and electronics · 2010

It is well known that the conventional bearing estimation method of MUSIC class shows a poor performance at low SNRs.In order to solve this problem,the paper proposes a modified SSMUSIC method by exploiting the waveform information of transmitted signals in multi-input multi-output(MIMO) system and the characteristic of array configuration.Compared with the conventional SSMUSIC,the proposed method achieves much better performance at low SNRs by applying matched filtering to the received data and performing a spatial smooth for the sample covariance matrix to reduce the standard deviation of the noise subspace.Simulation results show that under the experimental conditions,the proposed method has a lower resolution threshold and smaller RMSE than those of the SSMUSIC method.

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