Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar

被引:140
|
作者
Kumari, Preeti [1 ]
Vorobyov, Sergiy A. [2 ]
Heath, Robert W., Jr. [1 ]
机构
[1] Univ Texas Austin, Wireless Networking & Commun Grp, Austin, TX 78712 USA
[2] Aalto Univ, Dept Signal Proc & Acoust, Espoo 02150, Finland
基金
美国国家科学基金会;
关键词
Millimeter wave radar; millimeter wave communication; joint communication-radar; automotive applications; adaptive waveform design; velocity estimation; INFORMATION;
D O I
10.1109/TSP.2019.2956689
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Joint communication and radar (JCR) waveforms with fully digital baseband generation and processing can now be realized at the millimeter-wave (mmWave) band. Prior work has developed a mmWave wireless local area network (WLAN)-based JCR that exploits the WLAN preamble for radars. The performance of target velocity estimation, however, was limited. In this paper, we propose a virtual waveform design for an adaptive mmWave JCR. The proposed system transmits a few non-uniformly placed preambles to construct several receive virtual preambles for enhancing velocity estimation accuracy, at the cost of only a small reduction in the communication data rate. We evaluate JCR performance trade-offs using the Cram& x00E9;r-Rao Bound (CRB) metric for radar estimation and a novel distortion minimum mean square error (MMSE) metric for data communication. Additionally, we develop three different MMSE-based optimization problems for the adaptive JCR waveform design. Simulations show that an optimal virtual (non-uniform) waveform achieves a significant performance improvement as compared to a uniform waveform. For a radar CRB constrained optimization, the optimal radar range of operation and the optimal communication distortion MMSE (DMMSE) are improved. For a communication DMMSE constrained optimization with a high DMMSE constraint, the optimal radar CRB is enhanced. For a weighted MMSE average optimization, the advantage of the virtual waveform over the uniform waveform is increased with decreased communication weighting. Comparison of MMSE-based optimization with traditional virtual preamble count-based optimization indicated that the conventional solution converges to the MMSE-based one only for a small number of targets and a high signal-to-noise ratio.
引用
收藏
页码:715 / 730
页数:16
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