Fusion-Based Direction-of-Arrival (DoA) Estimation with Spatial Diversity in Multi-Cluster Systems

被引：0
|
作者：
Hasib, Mutmainnah [1 ]
Kandeepan, Sithamparanathan [1 ]
Rowe, Wayne S. T. [1 ]
Al-Hourani, Akram [1 ]
机构：
[1] RMIT Univ, Sch Engn, Melbourne, Vic, Australia
来源：
2022 IEEE ASIA PACIFIC CONFERENCE ON WIRELESS AND MOBILE (APWIMOB) | 2022年
关键词：
Channel-Phase Estimations; Direction of Arrival (DoA) Estimation; Spatial Diversity and Vehicle to Everything (V2X); RADIO ACCESS;
D O I：
10.1109/APWiMob56856.2022.10014175
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The Direction-of-Arrival (DoA) estimation method is widely investigated under distinct channel impairments such as multipath fading, oscillator phase noise, and the correlation effect with different receiving array structures. In recent years, combination studies such as correlated receive diversity under Rayleigh or Rician fading channels are also considered. The performance investigation of DoA estimation methods for multi-cluster/multi-antenna systems adapts diversity techniques and exploits channel multipath propagation characteristics. A study on DoA estimation performance with a fusion of channel-phase random variables from multiple clusters is not yet explored in the existing research. Therefore, this work investigates the above-case scenario with spatial diversity in multi-cluster systems equipped with multi-antennas. The performance of the proposed scheme is evaluated through extensive Monte Carlo Simulations in MATLAB. The simulation results showed that the fusion-based DoA method reduces estimation errors and performs better through appropriate weight selection mechanisms in receive diversity techniques.
引用
收藏
页码：30 / 36
页数：7
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