e-ISSN 2231-8542
ISSN 1511-3701
Jha, A., Kansal, L. and Gaba, G. S.
Pertanika Journal of Tropical Agricultural Science, Volume 25, Issue 3, July 2017
Keywords: Compressed sensing, channel estimation, LS, MMSE, OFDM
Published on: 20 Jun 2017
Data transfer in wireless communication systems requires higher data rate, transmission capability, high bandwidth and robustness. Orthogonal frequency division multiplexing (OFDM) is mainly used in regard with Multipath fading and delay. To increase the systems performance various pilot assisted method was discovered and studied. We have used compressed sensing to estimate the channel coefficients of the fading channel; then we have performed the compressive sensing (CS) recovery algorithm to estimate the channel and to nullify the fading effect, the thus much better result are obtained in the simulation which satisfies the better performance of the system as compared to the traditional method.
ISSN 1511-3701
e-ISSN 2231-8542