Joint Transmit Waveform and Receive Filter Design for Dual-Function Radar-Communication Systems

Abstract

In this paper, the problem of joint transmit waveform and receive filter design for dual-function radar-communication (DFRC) systems is studied. The considered system model involves a multiple antenna base station (BS) of a cellular system serving multiple single antenna users on the downlink. Furthermore, the BS simultaneously introduces sensing capabilities in the form of point-like target detection from the reflected return signals in a signal-dependent interference environment. A novel framework based on constrained optimization problems is proposed for the joint design of the transmit waveform and the radar receive filter such that different constraints related to the power amplifiers and the radar waveform are satisfied. In contrast to the existing approaches in the DFRC systems' literature, the proposed approach does not require the knowledge of a predetermined radar beampattern in order to optimize the performance of the radar part through its approximation. Instead, a beampattern is generated by maximizing the radar receive signal-to-interference ratio (SINR) thus, enabling a more flexible design. Moreover, the radar receive filter processing and its optimization is considered for the first time on DFRC systems, enabling the effective exploitation of the available degrees of freedom in the radar receive array. Efficient algorithmic solutions with guaranteed convergence are developed for the defined constrained nonconvex optimization problems. The effectiveness of the proposed solutions is verified via numerical results.

Energy Efficient Beamforming Optimization for Integrated Sensing and Communication

“…The second one is a sensing dominated design, which is obtained by maximizing the transmit beampattern gain towards sensing directions [17], while guaranteeing the minimal SINR requirements of communication users. We calculate the detection probability for point-like target detection according to [8] and [24], where the power of the target and the noise variance are set to 25 dBW and 0 dBW, respectively, and the false alarm probability is set to 10 −5 . From Fig.…”

“…In [7], the authors optimized the spectral efficiency in a UAV-assisted ISAC system, while ensuring the sensing requirements. Moreover, a novel joint design of the transmitter and the radar receiver was addressed in [8], where the radar received SINR maximization is considered for the first time in ISAC.…”

Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing

“…Since the tracker is initialized with a one-point initialization, with V max = 30 and converted measurement, the PRMSE is very high at k = 0. During the time of k ∈ [1,20], the filter settles its covariance, and it is visualized that the PRMSE is decreasing over time. After a certain time k = 40, the filter is settled, and settled PRMSE values are observed.…”

“…Alternatively, DFRC techniques focus on designing joint sys-VOLUME x, xxxx DFRC system design for automotive applications has been studied in [18], [19]. The joint transmit waveform design and receiver design for the DFRC system are studied in [20]. In contrast to other works, in [20], the radar performance is optimized without knowing a predetermined radar beam pattern.…”

“…The joint transmit waveform design and receiver design for the DFRC system are studied in [20]. In contrast to other works, in [20], the radar performance is optimized without knowing a predetermined radar beam pattern. In [21], the performance of the DFRC systems is analyzed in terms of radar mutual information (RMI) and communication data rate (CDR) for radar and communication systems.…”