CMA adaptive equalization in subspace pre-whitened blind receivers

Chang, Wei-Chieh; Yuan, Jenq-Tay

doi:10.1016/j.dsp.2019.02.002

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…The schematic flowchart of HAWOA-CMA is shown in Figure 4. Using formula (17) to update the positions Using formula (14) to update the positions Using formula (8) to update the positions Using formula (17) to…”

Section: The Constant Modulus Blind Equalization Algorithm Based On H...mentioning

confidence: 99%

“…Meanwhile, the CMA [15] and Multi-modulus algorithm [16] (MMA) in the Bussgang blind equalization algorithm have been widely studied and applied because of their simple structure and strong stability. As a classic blind equalization algorithm, the constant modulus algorithm has advantages, such as low operational complexity, but disadvantages, such as slow convergence speed and large mean square error [17], which are not conducive to information transmission.…”

Section: Introductionmentioning

confidence: 99%

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A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System

Wang,

Zhang,

Sun

et al. 2023

Mathematics

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This paper proposes a wireless channel equalization method applied to the constant modulus blind equalization system, which addresses the slow convergence and strong randomness in the initialization of equalizer weights in the constant modulus blind equalization algorithm (CMA) by introducing a hybrid arithmetic whale optimization algorithm (HAWOA). The mean square error in the CMA is utilized as the cost function for the HAWOA to obtain a more effective initial weights for the equalizer. To validate the superiority of the hybrid arithmetic whale constant modulus blind equalization algorithm, tests are conducted on the equalization system using 16QAM and 64QAM signals. The simulation results demonstrate that the proposed algorithm achieved better initial weights compared to the CMA and the constant modulus blind equalization algorithm based on the whale optimization algorithm. It can obtain the desired mean square error with a lower symbol error rate in fewer iterations. Furthermore, the hybrid arithmetic whale constant modulus blind equalization algorithm exhibited faster convergence in optimizing initial weights, effectively enhancing the equalization performance of the CMA in wireless channels while ensuring timeliness.

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