In this paper an adaptive optimized fast blind channel estimation using cyclic prefix supported with Space Time Block Coded Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (STBC-MIMO-OFDM) system is presented. The main aspire of our technique is to support multiple users at the same time over same frequency band based on the Multi-Carrier Code-Division Multiple Access (MC-CDMA) approach. High complexity and low convergence is the main obstacle in earlier blind channel estimation techniques. Modified flower pollination algorithm is implemented to overcome this problem. The MC-CDMA approach is utilized to implement the blind channel estimation. The proposed MC-CDMA is used to reduce the error rate included in the Blind Channel Estimation. As a part of wireless communications, time block coding technique is utilized to transmit several copies of information across the number of antennas. To develop the consistency of data transfer different received data is used and then MFPA results in lower fuel cost compared to FPA. MFPA produces better results compared with previous methods.

本文提出了一种空循环分组多输入多输出正交频分复用（STBC-MIMO-OFDM）系统支持的循环前缀的自适应优化快速盲信道估计方法。我们技术的主要抱负是基于多载波码分多址（MC-CDMA）方法在同一频带上同时支持多个用户。高复杂度和低收敛是早期盲信道估计技术的主要障碍。为了克服这个问题，采用了改进的花授粉算法。MC-CDMA方法用于实现盲信道估计。所提出的MC-CDMA被用于减少包括在盲信道估计中的错误率。作为无线通信的一部分，时间块编码技术被用来跨多个天线发送信息的多个副本。为了提高数据传输的一致性，使用了不同的接收数据，然后与FPA相比，MFPA降低了燃料成本。与以前的方法相比，MFPA产生更好的结果。