Software Tools: LabVIEW NXG and MATLAB
- M. Alaee-Kerahroodi, E. Raei, S. Kumar and B. S. M. R. R., “Cognitive Radar Waveform Design and Prototype for Coexistence With Communications,” in IEEE Sensors Journal, vol. 22, no. 10, pp. 9787-9802, 15 May15, 2022, doi: 10.1109/JSEN.2022.3163548.
- M. Alaee-Kerahroodi, K. V. Mishra, M. R. Bhavani Shankar and B. Ottersten, “Discrete-Phase Sequence Design for Coexistence of MIMO Radar and MIMO Communications,” 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019, pp. 1-5.
The new generation of radar systems will need to coexist with other radio frequency (RF) systems, anticipating their behavior and properly reacting to avoid interference. In light of this requirement, we present the performance of phase-only sequences (with constant power) for
intelligent spectrum utilization using a custom-built “cognitive Multiple Input Multiple Output (MIMO) radar” prototype.
The designed transmitting waveforms of this paper avoid reserved frequency bands that are occupied by narrowband interferers or communications, and at the same time have small cross-correlation among each other, to make the possibility of being separated at the receive side of the MIMO radar.
The performance of the optimized set of sequences obtained through solving a non-convex bi-objective optimization problem, and compared with the state-of-the-art counterparts in terms of cross-correlation levels and spectrum notches, and its applicability is illustrated by the developed prototype.
A realistic Long Term Evolution (LTE) base station and a user is used for the communications, and the real-time system implementation is validated and evaluated through the throughput evaluation for communications and detection performance measurement for the radar system.
See a video of the prototype below