On the estimation of nonrandom signal coefficients from jittered samples
Files
First author draft
Date
2011-02
Authors
Weller, Daniel S.
Goyal, Vivek K.
Version
First author draft
OA Version
Citation
Daniel S Weller, Vivek K Goyal. 2011. "On the Estimation of Nonrandom Signal Coefficients From Jittered Samples." IEEE Transactions on Signal Processing, Volume 59, Issue 2, pp. 587 - 597. https://doi.org/10.1109/tsp.2010.2090347
Abstract
This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive, independent identically distributed (i.i.d.) Gaussian noise, where the signal lies in the span of a finite basis. For the presented classical estimation problem, the Cramér-Rao lower bound (CRB) is computed, and an Expectation-Maximization (EM) algorithm approximating the maximum likelihood (ML) estimator is developed. Simulations are performed to study the convergence properties of the EM algorithm and compare the performance both against the CRB and a basic linear estimator. These simulations demonstrate that by postprocessing the jittered samples with the proposed EM algorithm, greater jitter can be tolerated, potentially reducing on-chip ADC power consumption substantially.