The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
MIMO radar: an idea whose time has come
Abstract
It has recently been shown that multiple-input multiple-output (MIMO) antenna systems have the potential to improve dramatically the performance of communication systems over single antenna systems. Unlike beamforming, which presumes a high correlation between signals either transmitted or received by an array, the MIMO concept exploits the independence between signals at the array elements. In conventional radar, target scintillations are regarded as a nuisance parameter that degrades radar performance. The novelty of MIMO radar is that it takes the opposite view; namely, it capitalizes on target scintillations to improve the radar's performance. We introduce the MIMO concept for radar. The MIMO radar system under consideration consists of a transmit array with widely-spaced elements such that each views a different aspect of the target. The array at the receiver is a conventional array used for direction finding (DF). The system performance analysis is carried out in terms of the Cramer-Rao bound of the mean-square error in estimating the target direction. It is shown that MIMO radar leads to significant performance improvement in DF accuracy.
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Cites
On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas
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Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory
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Outdoor MIMO wireless channels: models and performance prediction
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(1993) · Springer Series in Information Sciences · doi:10.1007/978-3-642-77347-1 · Cited by 276
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
Target Detection and Localization Using MIMO Radars and Sonars
Bekkerman, I., & Tabrikian, J. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.879267 · Cited by 1,259
On compressive sensing applied to radar
Ender, J. H. G. (2010) · Signal Processing · doi:10.1016/j.sigpro.2009.11.009 · Cited by 649
Automotive Radar — From First Efforts to Future Systems
Waldschmidt, C., Hasch, J., & Menzel, W. (2021) · IEEE Journal of Microwaves · doi:10.1109/jmw.2020.3033616 · Cited by 580
Metadata
- Authors
- Fishler, E., Haimovich, A., Blum, R., Chizhik, D., Cimini, L., & Valenzuela, R.
- Venue
- Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)
- Publisher
- IEEE
- Published
- 2004-08-13
- Pages
- 71-78
- ISSN
- 1097-5659 (ISSN-L)
- OpenAlex
- W1615912037
- Cited by
- 1,453
- References
- 6
- FWCI
- 39.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Fishler, E., Haimovich, A., Blum, R., Chizhik, D., Cimini, L., & Valenzuela, R. (2004). MIMO radar: an idea whose time has come. Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509). https://doi.org/10.1109/nrc.2004.1316398
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