Transmit Design for Joint MIMO Radar and Multiuser Communications With Transmit Covariance Constraint

  title={Transmit Design for Joint MIMO Radar and Multiuser Communications With Transmit Covariance Constraint},
  author={Xiang Liu and Tianyao Huang and Yimin Liu},
  journal={IEEE Journal on Selected Areas in Communications},
In this paper, we consider the waveform design of a multiple-input multiple-output (MIMO) transmitter which simultaneously functions as a MIMO radar and a base station for downlink multiuser communications. In addition to a power constraint, we require the covariance of the transmit waveform be equal to a given optimal covariance for MIMO radar, to guarantee the radar performance. With this constraint, we formulate and solve the signal-to-interference-plus-noise ratio (SINR) balancing problem… 

Figures from this paper

Spatial Linear Coding in Joint Radar and Multicast Communication Systems
The proposed numerical optimization methods for spatial linear coding in a transmitting antenna array can be recommended when designing joint radar communication systems.
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
A comprehensive review on the background, range of key applications and state-of-the-art approaches of Integrated Sensing and Communications (ISAC), and the potential integration of ISAC with other emerging communication technologies, and their positive impacts on the future of wireless networks are identified.
NOMA Inspired Integrated Sensing and Communication
It is rigorously proved that in the multiple-user scenario, the proposed NOMA-inspired ISAC framework always outperform the state-of-the-art sensinginterference-cancellation (SenIC) ISAC frameworks by further exploiting sensing signal for delivering information.


MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission
Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.
Linear precoding via conic optimization for fixed MIMO receivers
The proposed precoder design is general, and as a special case, it solves the transmit rank-one beamforming problem and can significantly outperform existing linear precoders.
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming
This paper employs the Cramér-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios, and proposes minimizing the CRB of radar sensing while guaranteeing a pre-defined level of signal-to-interference-plus-noise ratio (SINR) for each communication user.
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
  • Wei Yu, T. Lan
  • Computer Science, Business
    IEEE Transactions on Signal Processing
  • 2007
It is shown that various notions of uplink-downlink duality may be unified under a Lagrangian duality framework and this new interpretation of duality gives rise to efficient numerical optimization techniques for solving the downlink per-antenna transmitter optimization problem.
Dual-Function MIMO Radar Communications System Design Via Sparse Array Optimization
A new technique for communication information embedding into the emission of multiple-input multiple-output (MIMO) radar using sparse antenna array configurations, which shows that by reconfiguring sparse transmit array through antenna selection and reordering waveform-antenna pairing, a data rate of megabits per second can be achieved for a moderate number of transmit antennas.
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
This work addresses the question of ldquoto compress or not to compressrdquo by considering both the Cramer-Rao bound (CRB) and the sufficient statistic for parameter estimation and considers MIMO radar waveform optimization for parameters estimation for the general case of multiple targets in the presence of spatially colored interference and noise.
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
It is shown that the dirty paper achievable region achieves the sum-rate capacity of the MIMO BC by establishing that the maximum sum rate of this region equals an upper bound on the sum rate.
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has its own power constraint and proposes a deep neural network structure to learn the optimal beamforming based on convolutional networks.
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design
This work focuses on a dual-functional multi-input-multi-output (MIMO) radar-communication system, where a single transmitter with multiple antennas communicates with downlink cellular users and detects radar targets simultaneously and proposes a branch-and-bound algorithm that obtains a globally optimal solution.
Transmit beamforming and power control for cellular wireless systems
Joint power control and beamforming schemes are proposed for cellular systems where adaptive arrays are used only at base stations and the performances of these algorithms are compared with previously proposed algorithms through numerical studies.