Resource allocation for target detection in distributed MIMO radars

Tuomas Aittomäki; Hana Godrich; H. Vincent Poor; Visa Koivunen

doi:10.1109/ACSSC.2011.6190133

Resource allocation for target detection in distributed MIMO radars

Tuomas Aittomäki, Hana Godrich, H. Vincent Poor, Visa Koivunen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

A distributed multiple-input multiple-output (MIMO) radars using transmitters and receivers distributed over a large area can offer improved target detection, estimation, and tracking capabilities. In order to achieve best performance, it is necessary that the use of resources is optimized in such a radar system. In this paper, we consider the optimization of the transmit power of the transmitters for the purpose of target detection. We derive the optimal Neyman-Pearson detector without assuming whiteness of noise or independence of scattering and formulate the problem of optimizing the probability of detecting targets in an area of surveillance. Numerical examples are provided to demonstrate the effectiveness of the method.

Original language	English (US)
Title of host publication	Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages	873-877
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2011.6190133
State	Published - Dec 1 2011
Event	45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States Duration: Nov 6 2011 → Nov 9 2011

Other

Other	45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Country/Territory	United States
City	Pacific Grove, CA
Period	11/6/11 → 11/9/11

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2011.6190133

Cite this

@inproceedings{f165e48503e64769915cebf8cc3cd206,

title = "Resource allocation for target detection in distributed MIMO radars",

abstract = "A distributed multiple-input multiple-output (MIMO) radars using transmitters and receivers distributed over a large area can offer improved target detection, estimation, and tracking capabilities. In order to achieve best performance, it is necessary that the use of resources is optimized in such a radar system. In this paper, we consider the optimization of the transmit power of the transmitters for the purpose of target detection. We derive the optimal Neyman-Pearson detector without assuming whiteness of noise or independence of scattering and formulate the problem of optimizing the probability of detecting targets in an area of surveillance. Numerical examples are provided to demonstrate the effectiveness of the method.",

author = "Tuomas Aittom{\"a}ki and Hana Godrich and Poor, {H. Vincent} and Visa Koivunen",

year = "2011",

month = dec,

day = "1",

doi = "10.1109/ACSSC.2011.6190133",

language = "English (US)",

isbn = "9781467303231",

pages = "873--877",

booktitle = "Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011",

note = "45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 ; Conference date: 06-11-2011 Through 09-11-2011",

}

Aittomäki, T, Godrich, H, Poor, HV & Koivunen, V 2011, Resource allocation for target detection in distributed MIMO radars. in Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011., 6190133, pp. 873-877, 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011, Pacific Grove, CA, United States, 11/6/11. https://doi.org/10.1109/ACSSC.2011.6190133

TY - GEN

T1 - Resource allocation for target detection in distributed MIMO radars

AU - Aittomäki, Tuomas

AU - Godrich, Hana

AU - Poor, H. Vincent

AU - Koivunen, Visa

PY - 2011/12/1

Y1 - 2011/12/1

N2 - A distributed multiple-input multiple-output (MIMO) radars using transmitters and receivers distributed over a large area can offer improved target detection, estimation, and tracking capabilities. In order to achieve best performance, it is necessary that the use of resources is optimized in such a radar system. In this paper, we consider the optimization of the transmit power of the transmitters for the purpose of target detection. We derive the optimal Neyman-Pearson detector without assuming whiteness of noise or independence of scattering and formulate the problem of optimizing the probability of detecting targets in an area of surveillance. Numerical examples are provided to demonstrate the effectiveness of the method.

AB - A distributed multiple-input multiple-output (MIMO) radars using transmitters and receivers distributed over a large area can offer improved target detection, estimation, and tracking capabilities. In order to achieve best performance, it is necessary that the use of resources is optimized in such a radar system. In this paper, we consider the optimization of the transmit power of the transmitters for the purpose of target detection. We derive the optimal Neyman-Pearson detector without assuming whiteness of noise or independence of scattering and formulate the problem of optimizing the probability of detecting targets in an area of surveillance. Numerical examples are provided to demonstrate the effectiveness of the method.

UR - http://www.scopus.com/inward/record.url?scp=84861322332&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861322332&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2011.6190133

DO - 10.1109/ACSSC.2011.6190133

M3 - Conference contribution

AN - SCOPUS:84861322332

SN - 9781467303231

SP - 873

EP - 877

BT - Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011

T2 - 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011

Y2 - 6 November 2011 through 9 November 2011

ER -

Resource allocation for target detection in distributed MIMO radars

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this