Estimation of phase noise in oscillators with colored noise sources

TL;DR

This paper develops advanced algorithms for estimating phase noise in oscillators affected by colored noise sources, demonstrating significant performance improvements over existing methods in terms of estimation accuracy and communication system reliability.

Contribution

It introduces a soft-input MAP estimator and a modified extended Kalman smoother tailored for colored noise, enhancing phase noise estimation accuracy.

Findings

Proposed algorithms outperform existing methods in mean square error of PN estimation.

Significant reduction in symbol error rate achieved with the new estimators.

Correct knowledge of PN statistics is crucial for optimal estimator performance.

Abstract

In this letter we study the design of algorithms for estimation of phase noise (PN) with colored noise sources. A soft-input maximum a posteriori PN estimator and a modified soft-input extended Kalman smoother are proposed. The performance of the proposed algorithms are compared against those studied in the literature, in terms of mean square error of PN estimation, and symbol error rate of the considered communication system. The comparisons show that considerable performance gains can be achieved by designing estimators that employ correct knowledge of the PN statistics.