SNR Estimation Technique of the AWGN Channel by Second and Fourth-Order Moments (M2M4)

Abstract

The goal is to find the "best" estimate of the SNR in a digital receiver with the least cost. Generally, SNR estimates are generated by averaging observable properties of the received signal over a number of symbols. The performances of various signal-to-noise ratio (SNR) estimation techniques reported in the literature are compared to identify the "best" estimator. The SNR estimators are investigated by the computer simulation of baseband binary phase-shift keying (PSK) signals in real additive white Gaussian noise (AWGN) and baseband M-ary PSK signals in complex Additive white Gaussian noise (AWGN). Some known estimator structures are modified to perform better on the channel of interest. It investigates, therefore, both types of estimators and quantifies by example the improvement in performance achievable by using known data rather than error-corrupted recovered data. Estimator structures for complex channels are examined.

Keywords

• Signal-to-noise ratio (SNR)
• Phase-shift keying (PSK)
• Additive white Gaussian noise (AWGN)
• Phase Shift Keying (PSK)

How to cite

Md. Habibur Rahman (2016). SNR Estimation Technique of the AWGN Channel by Second and Fourth-Order Moments (M2M4). Sonargaon University Journal, 1(2), 136–151.

@article{rahman201611,
  title   = {SNR Estimation Technique of the AWGN Channel by Second and Fourth-Order Moments (M2M4)},
  author  = {Md. Habibur Rahman},
  journal = {Sonargaon University Journal},
  volume  = {1},
  number  = {2},
  pages   = {136--151},
  year    = {2016},
  issn    = {2518-3125},
  url     = {https://su.edu.bd/journal/volume-1-number-2/snr-estimation-technique-of-the-awgn-channel-by-second-and-fourth-order-moments}
}