Improved Tensor-MODE Based Direction-of-Arrival Estimation for Massive MIMO Systems

2015 ◽  
Vol 19 (12) ◽  
pp. 2182-2185 ◽  
Author(s):  
Fuxi Wen ◽  
Chen Liang
IEEE Access ◽  
2015 ◽  
Vol 3 ◽  
pp. 2122-2128 ◽  
Author(s):  
Ting Wang ◽  
Bo Ai ◽  
Ruisi He ◽  
Zhangdui Zhong

2020 ◽  
Vol 9 (1) ◽  
pp. 1834-1837

Direction of arrival (DOA) estimation has, for quite some time been a challenging situation in most of the wireless communication applications, radar and sonar. The resolution of the direction of arrival estimation can be increased using the help of array signal processing. The performance of the direction of arrival estimation for multiple input multiple output(MIMO) radar systems has been reviewed for cyclic Multiple Signal Classification(MUSIC), extended cyclic MUSIC and Wideband cyclic MUSIC under Rayleigh fading environment. MUSIC and its variants have been taken into consideration for the analysis as these have been a very good parameter estimation technique due its low cost, high resolution and stability. Direction of Arrival estimation clubbed with cyclostationarity has been included into the new algorithm because of its immunity to noise and interference. The new algorithm along with cyclic correlations when applied to these signals, improves the performance of the entire system substantially. The performance of this wideband cyclic MUSIC high resolution direction of arrival estimation algorithm over the Rayleigh fading is analyzed in this paper. The simulation results citing the three methods show the performance of these methods in presence of the fading environments.


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