Simulation Platform for Channel Equalization

A detailed investigation and analysis of channel equalization algorithms has been conducted, leading to the successful design and development of a channel equalization simulation platform. This platform incorporates modular code architecture allowing flexible implementation of various equalization techniques including LMS (Least Mean Squares), RLS (Recursive Least Squares), and CMA (Constant Modulus Algorithm). The simulation environment enables systematic performance evaluation of different equalization algorithms under diverse channel conditions, such as AWGN (Additive White Gaussian Noise), multipath fading, and frequency-selective channels. Key features include BER (Bit Error Rate) calculation modules, convergence analysis tools, and real-time parameter adjustment capabilities. Through this platform's application, researchers can gain deeper insights into channel equalization principles and techniques, while the comprehensive testing framework provides valuable data for algorithm optimization and forms a solid foundation for future research and practical applications. The platform's object-oriented design allows easy integration of new equalization algorithms through standardized interfaces, facilitating comparative studies and performance benchmarking.