Antenna placement for minimizing target localization error in UWB MIMO noise radar

Wei Jen Chen; Ram M. Narayanan

doi:10.1109/LAWP.2011.2119390

Antenna placement for minimizing target localization error in UWB MIMO noise radar

Wei Jen Chen, Ram M. Narayanan

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

An iterative approach is applied to estimate target location in an ultrawideband multiple-input-multiple-output noise radar system, and the lower bound of its performance is analyzed. The analysis clearly shows that target location estimation accuracy depends on the antenna locations. An approach to efficiently deploy the antennas is proposed. Simulations demonstrate that the root mean square error in target location estimation is inversely proportional to the square root of the product of the number of transmit and receive antennas numbers, and it is able to achieve the derived lower bound at high signal-to-noise ratios.

Original language	English (US)
Article number	5720259
Pages (from-to)	135-138
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	10
DOIs	https://doi.org/10.1109/LAWP.2011.2119390
State	Published - 2011

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/LAWP.2011.2119390

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title = "Antenna placement for minimizing target localization error in UWB MIMO noise radar",

abstract = "An iterative approach is applied to estimate target location in an ultrawideband multiple-input-multiple-output noise radar system, and the lower bound of its performance is analyzed. The analysis clearly shows that target location estimation accuracy depends on the antenna locations. An approach to efficiently deploy the antennas is proposed. Simulations demonstrate that the root mean square error in target location estimation is inversely proportional to the square root of the product of the number of transmit and receive antennas numbers, and it is able to achieve the derived lower bound at high signal-to-noise ratios.",

author = "Chen, {Wei Jen} and Narayanan, {Ram M.}",

note = "Funding Information: Manuscript received December 03, 2010; revised February 12, 2011; accepted February 15, 2011. Date of publication February 24, 2011; date of current version March 14, 2011. This work was supported by the U.S. Air Force Office of Scientific Research under Grant FA9550-06-1-0029.",

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doi = "10.1109/LAWP.2011.2119390",

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AU - Narayanan, Ram M.

N1 - Funding Information: Manuscript received December 03, 2010; revised February 12, 2011; accepted February 15, 2011. Date of publication February 24, 2011; date of current version March 14, 2011. This work was supported by the U.S. Air Force Office of Scientific Research under Grant FA9550-06-1-0029.

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N2 - An iterative approach is applied to estimate target location in an ultrawideband multiple-input-multiple-output noise radar system, and the lower bound of its performance is analyzed. The analysis clearly shows that target location estimation accuracy depends on the antenna locations. An approach to efficiently deploy the antennas is proposed. Simulations demonstrate that the root mean square error in target location estimation is inversely proportional to the square root of the product of the number of transmit and receive antennas numbers, and it is able to achieve the derived lower bound at high signal-to-noise ratios.

AB - An iterative approach is applied to estimate target location in an ultrawideband multiple-input-multiple-output noise radar system, and the lower bound of its performance is analyzed. The analysis clearly shows that target location estimation accuracy depends on the antenna locations. An approach to efficiently deploy the antennas is proposed. Simulations demonstrate that the root mean square error in target location estimation is inversely proportional to the square root of the product of the number of transmit and receive antennas numbers, and it is able to achieve the derived lower bound at high signal-to-noise ratios.

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ER -

Antenna placement for minimizing target localization error in UWB MIMO noise radar

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