A Joint Scheme of Antenna Placement and Power Allocation in a Compressive-Sensing-Based Colocated MIMO Radar
IEEE Sensors Letters(2022)
Abstract
The spatial sparsity of targets in the radar scene is widely used in multiple-input multiple-output (MIMO) radar signal processing, either to improve the detection/estimation performance of the radar or to reduce the cost of the conventional MIMO radars (e.g., by reducing the number of antennas). While sparse target estimation is the main challenge in such an approach, here, we address the design of a compressive-sensing-based MIMO radar, which facilitates such estimations. In particular, we propose an efficient solution for the problem of joint power allocation and antenna placement based on minimizing the number of transmit antennas while constraining the coherence of the sensing matrix. Numerical results confirm the superiority of the proposed method over the existing ones.
MoreTranslated text
Key words
Sensors,Radar antennas,MIMO radar,Coherence,Radar,Sparse matrices,Resource management,Sensor signal processing,sensor applications,antenna placement,colocated multiple-input multiple-output (MIMO) radar,compressive sensing (CS),power allocation
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined