Optimal and Robust Waveform Design for MIMO-OFDM Channel Sensing: A Cramér-Rao Bound Perspective
Author:
Affiliation:
1. Technical University of Munich,Chair of Theoretical Information Technology,Munich,Germany
2. Munich Center for Quantum Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279049.pdf?arnumber=10279049
Reference20 articles.
1. Semidefinite Relaxation of Quadratic Optimization Problems
2. Optimized Waveforms for 5G–6G Communication With Sensing: Theory, Simulations and Experiments
3. Performance Bounds for MIMO-OFDM Channel Estimation
4. Simple Algorithms for Optimization on Riemannian Manifolds with Constraints
5. Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation;townsend;Journal of Machine Learning Research,2016
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Robust Waveform Design for Integrated Sensing and Communication;IEEE Transactions on Signal Processing;2024
2. Optimal Linear Precoder Design for MIMO-OFDM Integrated Sensing and Communications Based on Bayesian Cramér-Rao Bound;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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