Chandler, AZ, United States of America

MacDaniel J Radigan


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: MacDaniel J Radigan: Innovator in Signal Estimation Technology

Introduction

MacDaniel J Radigan is a notable inventor based in Chandler, AZ (US). He has made significant contributions to the field of signal estimation, particularly through his innovative patent. His work is characterized by a focus on real-time polynomial estimation, which has applications in various computationally-constrained environments.

Latest Patents

Radigan holds a patent for a "Signal Estimator," specifically a Least Mean Squares (LMS) polynomial estimator. This LMS polynomial estimator is designed to perform real-time polynomial estimation and evaluation of successive time derivatives of a function of a single variable up to a specified polynomial order. The unique use of system memory allows for the evaluation of the least squares normal equations with a very low computational footprint. This feature makes the estimator suitable for embedded systems, where computational resources are limited. The LMS polynomial estimator can also be implemented in a frequency estimator for estimating phase, frequency, Doppler, delta Doppler, and higher-order time derivatives of phase, all in real time.

Career Highlights

Radigan is currently employed at Lockheed Martin Corporation, where he continues to develop and refine his innovative technologies. His work at Lockheed Martin has positioned him as a key player in advancing signal processing techniques.

Collaborations

Some of his notable coworkers include Billy D Pettijohn and Erik Jan Paulley, who contribute to the collaborative environment that fosters innovation at Lockheed Martin.

Conclusion

MacDaniel J Radigan's contributions to signal estimation technology exemplify the impact of innovative thinking in engineering. His patent for the LMS polynomial estimator showcases his ability to address complex challenges in real-time processing.

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