Bhogavalli, S and Grivel, E and Hari, KVS and Corretja, V (2024) Selecting transmission entities of an IM-based MIMO OFDM DFRC System by using Pareto front. In: IEEE Radar Conference, RadarConf 2024, 6 May 2024 through 10, Denver, USA.
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Abstract
Dual-function Radar and communication (DFRC) systems accommodate both Radar and communication function-alities by integrating them into a single hardware and using the same waveform. Recently, index modulation that transmits the information bits by activating fewer transmission entities (antennas, sub-carriers, etc.) during data transmission has been employed to improve the performance of DFRC systems. Considering the modified Cramer-Rao bound (MCRB) of the directions of arrival, ranges and velocities of the targets as the metrics, the Radar performance can be improved by selecting the combinations of the sub-carriers and antennas that can be activated. In this paper, to choose the best combination, we solve the multi-objective problem based on the MCRB of the target parameters using the Pareto front technique. This results in a set of non-dominated solutions. At that stage, depending on the user's priorities and practical considerations, one solution belonging to the Pareto front will be chosen. © 2024 IEEE.
Item Type: | Conference Proceedings |
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Publication: | Proceedings of the IEEE Radar Conference |
Series.: | Proceedings of the IEEE Radar Conference |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Codes (symbols); Cramer-Rao bounds; MIMO radar; Orthogonal frequency division multiplexing; Radar antennas, Communication functions; Communications systems; Dual function; Dual-function radar and communication; Index modulation; MIMO/OFDM; Modified Cramer-Rao bounds; Pareto front; Sub-carriers; Waveforms, MIMO systems |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 30 Jul 2024 10:42 |
Last Modified: | 30 Jul 2024 10:42 |
URI: | http://eprints.iisc.ac.in/id/eprint/85636 |
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