Sparsity adaptive channel estimation method based on compressed sensing

• Main Authors: HUANG JUNLIN, QIN HONG, LYU JINGZHAO, LI YANSHAN, LI GUIYONG, LI SIYUAN, XU YONGJUN, WANG DAN, CHEN FATANG, FANG ZESHENG, WANG HUAHUA, CHEN BO
• Format: Patent
• Language: Chinese; English
• Published: 17.08.2021
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention belongs to the technical field of mobile communication, and relates to a sparseness adaptive channel estimation method based on compressed sensing. The method comprises the following steps: estimating a channel frequency domain response by adopting a DFT channel estimation algorithm; calculating a correlation coefficient of a sensing matrix and the residual error by adopting a Dice coefficient matching criterion; updating the column sequence number corresponding to the maximum correlation coefficient to an index set, and updating the column vector to an atomic support set; reconstructing a channel impulse response of the sensing matrix and the observation vector by using a least square method; calculating the product of the reconstructed channel impulse response and the sensing matrix, and updating the residual error between the observation vector and the product; calculating the difference value between the residual error and the channel frequency domain response, judging whether the current di