The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 14, 2024
Filed:
Dec. 21, 2020
Joint denoising and delay estimation for the extraction of pulse-width of signals in rf interference
Bae Systems Information and Electronic Systems Integration Inc., Nashua, NH (US);
Masoud Farshchian, Englewood Cliffs, NJ (US);
BAE Systems Information and Electronic Systems Integration Inc., Nashua, NH (US);
Abstract
A feature detection system, the system comprising: at least one processor in operative communication with a signal source, said processor further comprising at least one non-transitory storage medium, wherein at least one non-transitory storage medium contains instructions configured to cause the processor to: apply a joint group sparse denoising and delay estimation approach to a signal received from said signal source; and output statistics regarding the signal, wherein the joint group sparse denoising and delay estimation approach comprises; using the following equation: where: ϕare regularization functions; ∥y−x∥is a data-fidelity term and, in embodiments, is chosen as the least-square term; lare real numbers; Dare operators, which may be linear filters that can be written in matrix form; λare regularization parameters; and x*,τ* represent estimates of at least one transmitted pulse and associated delay, and solving the equation for multiple values of ϵ; choosing a vector, x, such that a cost function comprising the data fidelity term and regularization function is minimized; determining the ϵ that corresponds to the x that minimizes the cost function; and calculating the pulse width of the received signal, which corresponds to the desired estimate of the vector, x.