Low-Complexity MMSE-Based Turbo Equalization

In the field of communications, researchers continuously develop new modulation and demodulation techniques to improve channel transmission efficiency. MMSE-based turbo equalization has gained significant attention due to its outstanding performance in mitigating inter-symbol interference. However, its high computational complexity has limited practical applications. To address this challenge, researchers have developed low-complexity MMSE-based turbo equalization algorithms that effectively reduce computational requirements. Key implementation strategies include iterative soft-decision feedback mechanisms where initial symbol estimates are refined through multiple passes, with each iteration updating the minimum mean-square error filter coefficients using prior symbol probabilities. Algorithm optimizations may involve approximated matrix inversion techniques and sliding-window processing to maintain performance while reducing mathematical operations. These enhancements enable broader deployment in resource-constrained scenarios such as mobile receivers and real-time communication systems.