MUSIC Algorithm Simulation for Smart Antenna Uplink Channels
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This experimental study presents a MUSIC algorithm simulation program designed for smart antenna uplink channel applications. The simulation focuses on performance analysis of narrowband signals operating in additive white Gaussian noise (AWGN) environments. Through comprehensive modeling and simulation of smart antenna systems, we evaluate their behavior across varying signal conditions and optimize algorithm parameters and system architecture. The implementation employs covariance matrix computation, eigenvalue decomposition, and spatial spectrum estimation to demonstrate MUSIC algorithm's application in smart antenna systems for enhanced signal detection and interference suppression capabilities. Key functions include array signal preprocessing, direction-of-arrival (DOA) estimation, and signal-to-noise ratio (SNR) analysis. These experimental results provide valuable insights into smart antenna system operations, offering guidance and references for future research and practical applications in wireless communication systems.
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