Upgrading an analog recovery loop for optimized decoding jointly to an increased data rate

The maximum likelihood detection theory improves the error rate of a sub-optimal but cheaper, coded symbol recovery loop using oversampling proposed as an alternate solution for decoding problem without log-likelihood ratio computation. former implementation delivers output data in one-symbol delay, and required transistor count makes this approach attractive ultra-low-energy wireless applications. hardware upgrade includes analog to digital converter fixed-point accumulation logic compute soft values, replacing trigger used hard detector. This work investigates presence binary non-binary source symbols. Simulation results show that signal-to-noise by 3 dB 2.5 when encoding rates are 1/3 2/3.