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Article

Radar Waveform Optimization for Joint Radar Communications Performance

1
Bliss Laboratory of Information, Signals, and Systems and the Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe, AZ 85287, USA
2
Department of Electrical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA
3
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
*
Author to whom correspondence should be addressed.
Current address: 650 E Tyler Mall, GWC 314, Tempe, AZ 85287, USA.
These authors contributed equally to this work.
Electronics 2019, 8(12), 1498; https://doi.org/10.3390/electronics8121498
Received: 15 November 2019 / Revised: 2 December 2019 / Accepted: 3 December 2019 / Published: 7 December 2019
(This article belongs to the Special Issue Cooperative Communications for Future Wireless Systems)
We develop and present a radar waveform design method that optimizes the spectral shape of the radar waveform so that joint performance of a cooperative radar communications system is maximized. The continuous water-filling (WF) spectral-mask shaping method presented in this paper is based on the previously derived spectral-mask shaping technique. However, the method presented in this paper is modified to utilize the continuous spectral water-filling algorithm to improve communications performance. We also introduce additional practical system constraints on the autocorrelation peak side-lobe-to-main-lobe ratio and radar waveform spectral leakage. Finally, we perform a numerical study to compare the performance of the continuous WF spectral-mask-shaping method with the previously derived method. The global estimation rate, which also accounts for non-local estimation errors, and the data rate capture radar and communications performance respectively. View Full-Text
Keywords: joint radar communications; radar waveform design; successive interference cancellation; continuous spectral water-filling; information theory; estimation theory; coordination and cooperation joint radar communications; radar waveform design; successive interference cancellation; continuous spectral water-filling; information theory; estimation theory; coordination and cooperation
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MDPI and ACS Style

Chiriyath, A.R.; Ragi, S.; Mittelmann, H.D.; Bliss, D.W. Radar Waveform Optimization for Joint Radar Communications Performance. Electronics 2019, 8, 1498. https://doi.org/10.3390/electronics8121498

AMA Style

Chiriyath AR, Ragi S, Mittelmann HD, Bliss DW. Radar Waveform Optimization for Joint Radar Communications Performance. Electronics. 2019; 8(12):1498. https://doi.org/10.3390/electronics8121498

Chicago/Turabian Style

Chiriyath, Alex R., Shankarachary Ragi, Hans D. Mittelmann, and Daniel W. Bliss 2019. "Radar Waveform Optimization for Joint Radar Communications Performance" Electronics 8, no. 12: 1498. https://doi.org/10.3390/electronics8121498

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