The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Target Localization Accuracy Gain in MIMO Radar-Based Systems
Open accessAbstract
This paper presents an analysis of target localization accuracy, attainable by the use of multiple-input multiple-output (MIMO) radar systems, configured with multiple transmit and receive sensors, widely distributed over an area. The Cramer–Rao lower bound (CRLB) for target localization accuracy is developed for both coherent and noncoherent processing. Coherent processing requires a common phase reference for all transmit and receive sensors. The CRLB is shown to be inversely proportional to the signal effective bandwidth in the noncoherent case, but is approximately inversely proportional to the carrier frequency in the coherent case. We further prove that optimization over the sensors' positions lowers the CRLB by a factor equal to the product of the number of transmitting and receiving sensors. The best linear unbiased estimator (BLUE) is derived for the MIMO target localization problem. The BLUE's utility is in providing a closed-form localization estimate that facilitates the analysis of the relations between sensors locations, target location, and localization accuracy. Geometric dilution of precision (GDOP) contours are used to map the relative performance accuracy for a given layout of radars over a given geographic area.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Fundamentals of Statistical Signal Processing: Estimation Theory
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MIMO Radar with Widely Separated Antennas
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Self-citationMIMO radar: an idea whose time has come
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Self-citationProbability and Information Theory with Applications to Radar
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Target Detection and Localization Using MIMO Radars and Sonars
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On Probing Signal Design For MIMO Radar
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Cited by
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
A Theoretical Foundation of Network Localization and Navigation
Win, M. Z., Shen, Y., & Dai, W. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2844553 · Cited by 353
Metadata
- Authors
- Godrich, H., Haimovich, A. M., & Blum, R. S.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2010-06
- Volume
- 56
- Issue
- 6
- Pages
- 2783-2803
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2152079373
- Cited by
- 656
- References
- 22
- FWCI
- 44.45
- Type
- journal article
- Language
- en
- Open access
- green
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