BEM-Based Wireless Channel Estimation

BEM-based wireless channel estimation is a widely adopted approach that utilizes various models such as CE-BEM, DPS-BEM, and DKL-BEM for channel characterization. These models employ distinct mathematical foundations and implementation techniques to deliver precise channel state information in wireless communication systems. Algorithm implementations typically involve fitting time-varying channel parameters to basis functions, where CE-BEM uses complex exponentials for periodic variations, DPS-BEM employs band-limited sequences for maximum energy concentration, and DKL-BEM leverages statistical properties for optimal basis representation. Through channel estimation, system designers can effectively analyze signal attenuation and distortion during transmission, enabling optimization of signal transmission and reception performance. Consequently, BEM-based channel estimation holds significant application value in wireless communications, particularly for OFDM systems and mobile scenarios requiring low-complexity implementations with matrix operations for real-time parameter tracking.