國立虎尾科技大學 |

Transmit signal design using linear precoding for MIMO radar.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Transmit signal design using linear precoding for MIMO radar./
作者:	Duly, Andrew.
面頁冊數:	1 online resource (38 pages)
附註:	Source: Masters Abstracts International, Volume: 49-04, page: 2616.
Contained By:	Masters Abstracts International49-04.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781124557786

Transmit signal design using linear precoding for MIMO radar.
Duly, Andrew.

Transmit signal design using linear precoding for MIMO radar. - 1 online resource (38 pages)

Source: Masters Abstracts International, Volume: 49-04, page: 2616.

Thesis (M.S.E.C.E.)--Purdue University, 2010.

Includes bibliographical references

MIMO radars utilize a waveform diverse array to improve radar detection and tracking performance. One metric useful in characterizing the detection performance of a radar system is the power on target, which directly relates to the transmit beampattern. For a single target, a coherent phased array approach is optimal to maximize the power on target. For multiple targets located at spatially separate angles, it is not apparent which transmit beampattern maximizes the power at every target. Since the structure of the signal covariance matrix directly influences the transmit beampattern, we approach the signal covariance matrix design problem using a linear precoder. We show that the linear precoding framework generalizes other MIMO radar transmit schemes, and give examples. The system setup involves partitioning the space into angle bins. The transmit signal is designed such that out of all K angle bins, the angle bin with the least amount of power directed towards it has its power maximized. Results are shown for various methods of designing this transmit signal, under either a total power constraint or an elemental power constraint.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781124557786Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Transmit signal design using linear precoding for MIMO radar.
LDR:02342ntm a2200325Ki 4500 001 915935
005 20180907134543.5
006 m o u
007 cr mn||||a|a||
008 190606s2010 xx obm 000 0 eng d
020 $a 9781124557786
035 $a (MiAaPQ)AAI1490642
035 $a (MiAaPQ)purdue:12765
035 $a AAI1490642
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Duly, Andrew. $3 1189488
245 1 0 $a Transmit signal design using linear precoding for MIMO radar.
264 0 $c 2010
300 $a 1 online resource (38 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 49-04, page: 2616.
500 $a Advisers: David J. Love; James V. Krogmeier.
502 $a Thesis (M.S.E.C.E.)--Purdue University, 2010.
504 $a Includes bibliographical references
520 $a MIMO radars utilize a waveform diverse array to improve radar detection and tracking performance. One metric useful in characterizing the detection performance of a radar system is the power on target, which directly relates to the transmit beampattern. For a single target, a coherent phased array approach is optimal to maximize the power on target. For multiple targets located at spatially separate angles, it is not apparent which transmit beampattern maximizes the power at every target. Since the structure of the signal covariance matrix directly influences the transmit beampattern, we approach the signal covariance matrix design problem using a linear precoder. We show that the linear precoding framework generalizes other MIMO radar transmit schemes, and give examples. The system setup involves partitioning the space into angle bins. The transmit signal is designed such that out of all K angle bins, the angle bin with the least amount of power directed towards it has its power maximized. Results are shown for various methods of designing this transmit signal, under either a total power constraint or an elemental power constraint.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Purdue University. $b Electrical and Computer Engineering. $3 1148521
773 0 $t Masters Abstracts International $g 49-04.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1490642 $z click for full text (PQDT)