Channel Estimation Simulation Based on Pilot Signals

This channel estimation algorithm utilizes both block-type and comb-type pilot structures. Building upon the fundamental Least Squares (LS) estimation method, we implement interpolation algorithms to achieve more precise channel impulse response estimation. The implementation includes functions for pilot insertion, LS estimation calculation, and various interpolation techniques (linear, spline, or Wiener filtering) to reconstruct complete channel responses between pilot positions. Our approach significantly improves estimation accuracy, thereby enhancing overall system performance and reliability. Furthermore, we conduct comprehensive performance analysis comparing different algorithms under varying Signal-to-Noise Ratio (SNR) conditions. The simulation framework includes SNR sweeping capabilities and BER/SER calculation modules to facilitate objective algorithm evaluation. This analysis provides crucial insights for selecting appropriate estimation strategies tailored to specific application scenarios. Our research outcomes offer valuable references for wireless communication system design and optimization studies.