Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Classification waveform optimization for MIMO radar

Authors
Kim, Hyoung-sooGoodman, Nathan A.Bae, JunhyeongLee, Chankil
Issue Date
Jun-2017
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
radar waveform; MIMO; target classification; mutual information; extended target
Citation
IEICE COMMUNICATIONS EXPRESS, v.6, no.8, pp.501 - 506
Journal Title
IEICE COMMUNICATIONS EXPRESS
Volume
6
Number
8
Start Page
501
End Page
506
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/12044
DOI
10.1587/comex.2017XBL0080
ISSN
2187-0136
Abstract
The waveform algorithm for active target classification or identification based on spectral variance has been studied in various pieces of literature. The algorithm was extended for widely-separated MIMO Radar system to take advantage of spatial diversity gain by Bae et al. However, the MIMO waveform can be improved further by considering multiple objective functions from the multiple target paths. In this letter, we optimize the MIMO waveform for target identification system by maximizing the multiple objective functions. We show simulation results to compare the proposed algorithm to other MIMO waveform design methods.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, CHAN KIL photo

LEE, CHAN KIL
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE