Date of Award

3-2021

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

James R. Lievsay, PhD

Abstract

A large clutter discrete (LCD) is spectrally bright localized clutter that can cause a false alarm or missed target detection in space-time adaptive processing (STAP) radar data. For passive bistatic STAP, the four step LCD removal (LCDR) algorithm estimates the spatial/Doppler frequency and complex amplitude of the LCD and then removes it from the data. Once the LCD is removed from the data, homogeneous clutter suppression techniques can be used to process the data and search for targets. This research focuses on reducing the complexity of estimating the LCDs complex amplitude. This research proposes a method that directly solves for the amplitude that minimizes the power output at the LCDs spatial/Doppler frequency. This research also focuses on further verifying the LCDR algorithm through hardware experimentation. Previously, the algorithm has only been tested through simulation. First, the amplitude estimation technique is tested through MATLAB simulations to determine the efficiency and accuracy of the proposed method. A hardware experiment is used to test amplitude estimation technique and verify LCDR algorithm in a lab environment.

AFIT Designator

AFIT-MS-ENG-21-M-040

DTIC Accession Number

AD1132440

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