Radar Waveform Optimization for Joint Radar Communications Performance
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
Department of Electrical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA
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.