Adaptive STFT for UAV Micro Doppler Signature Analysis

reportActive / Technical Report | Accession Number: AD1116524 | Open PDF

Abstract:

No Abstract Identified

Author(s):
Tahmoush, David ; Herr, Daniel
Author Organization(s):
University of Kansas Lawrence United States
Descriptive Note:
Conference Paper
Supplementary Note:
2020 MSS TRI-SERVICE RADAR SYMPOSIUM , 22 Jun 2020, 26 Jun 2020, 2020 MSS TRI-SERVICE RADAR SYMPOSIUM, June 22-26, 2020. In addition to this document, the following documents have been uploaded: all other individual conference papers and two full compilations, one including Distribution F material, one including material only up through Distribution D.
Pagination:
0014

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_6.3.3_Spectrum Management; JCA_6_Net Centric; JCA_5.3_Planning
Communities of Interest:
Air Platforms
Descriptor(s):
adaptive filters, airframes, engineering, algorithms, bistatic radar, continuous wave radar, machine learning, multistatic radar, periodic variations, power spectra, simulations, distance learning, doppler radar, doppler effect, feature extraction, frequency, image processing, detection, helicopter rotors, radar
Keyword(s):
MSS, Military Sensing Symposium, Military Sensing Symposia, 2020 Meeting (66th Annual) of the Military Sensing Symposia (MSS) Specialty Group of the MSS Tri Service Radar Symposium, TSRS, Tri Service Radar, POSTER 7
Report Date:
2020 Jun 22
Creation Date:
2020 Dec 02