Lockheed Martin Corporation

MacDaniel J Radigan

Billy D Pettijohn

Erik Jan Paulley

A Least Mean Squares (LMS) polynomial estimator is disclosed. The LMS polynomial estimator may be a LMS moving window polynomial estimator capable of performing real-time polynomial estimation and evaluation of successive time derivatives of a function of a single variable up to a specified polynomial order. The estimator makes a unique use system memory that allows for the evaluation of the least squares normal equations with a very low computational footprint. This allows the estimator to be realizable in computationally-constrained environments such as embedded systems. The LMS polynomial estimator may be implemented in a frequency estimator for estimation of the phase, frequency, Doppler, delta Doppler, and/or higher order time derivatives of phase. Estimates may be performed in real time, running at the same rate as the inbound signal.

Growing community of inventors

Chandler, AZ, United States of America

MacDaniel J Radigan