Non-data-aided SNR Estimation for Nakagami-m Fading Channel

Signal-to-noise ratio (SNR) is one of the major figures of merit, which characterizes the channel quality. For proper operation, modern communication systems require knowledge of SNR, such as power control or iterative soft-decoding procedures as most prominent examples. Due to this reason, the performance of estimated SNR should be more accurate for any channel. This estimated SNR can be computed by a data-aided (DA) approach or Non-data-aided (NDA) approach. In this paper, a NDA SNR estimation for MPSK (16-ary PSK) signal is proposed in Nakagami-m fading channel as well as Rician fading channel using M2M4 technique. SNR estimation is done for low to high values of SNR with m=0.75. Results show that Nakagami-m channel gives better performance in terms of some statistical properties while keeping almost same complexity in both Rician fading channel and Nakagami-m fading channel.