Improved DFT-Based Channel Estimation for Spatial Modulated Orthogonal Frequency Division Multiplexing Systems

In current cellular networks, Spatial Modulation with Orthogonal Frequency Division Multiplexing (SM OFDM) is a newly designed transmission method that substitutes Multiple Input Output (MIMO) OFDM transmission. practical frameworks, estimation of the channel vital for recovering transmitted data. conventional DFT-based algorithm, impact noise reduced in time domain. It retains significant values some sort threshold value equal to Cyclic Prefix (CP) length differentiates signal and terms Channel Impulse Response (CIR), thereby improving performance systems. Here we require information on CIR advance. But this results degradation if path delays are less channel. Hence work proposes improved where set estimated using RMS delay spread approximation SM Symbol Error Rate (SER) Mean Square (MSE) metrics considered Rayleigh fading employing ITU- Vehicular A model 16 QAM Simulation output shows improvement SER MSE by implementation estimation. At an SNR 40 dB, proposed can enhance about 2.8 dB 4dB compared DFT