Multi-Invariance ESPRIT-Based Blind DOA Estimation for MC-CDMA With an Antenna Array
Xiaofei Zhang, Xin Gao, Dazhuan Xu
Abstract
Xiaofei Zhang, Xin Gao, Dazhuan Xu
Abstract
In this paper, we address the problem of direction-of-arrival (DOA) estimation for a multicarrier code-division multiple-access (MC-CDMA) system with an antenna array. We reconstruct the received signal to form a data model with a multi-invariance property, and then, a multi-invariance estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm for DOA estimation is proposed. This algorithm has improved DOA estimation performance and identified more DOAs compared with an ESPRIT algorithm. Moreover, our algorithm enables DOA estimation of a large number of impinging waves. Simulation results illustrate the performance of this algorithm.
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In this paper, we address the problem of direction-of-arrival (DOA) estimation for a multicarrier code-division multiple-access (MC-CDMA) system with an antenna array. We reconstruct the received signal to form a data model with a multi-invariance property, and then, a multi-invariance estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm for DOA estimation is proposed. This algorithm has improved DOA estimation performance and identified more DOAs compared with an ESPRIT algorithm. Moreover, our algorithm enables DOA estimation of a large number of impinging waves. Simulation results illustrate the performance of this algorithm.
Key concepts: Rotational invariance, Direction of arrival, Code division multiple access, Antenna array, Algorithm, Antenna (radio), SIGNAL (programming language), Computer science