Bit Constrained Communication Receivers In Joint Radar Communications Systems

Abstract

Dual function radar and communications (DFRC) systems are the focus of growing research attention. The common DFRC setup considers simultaneous probing and information transmission to a remote receiver, typically involving complex radar-oriented waveforms, whose detection can induce a notable burden on the receiver. In many DFRC applications, the communication receivers are devices which are limited in terms of hardware, power, and memory resources. These receivers are required to extract the desired information from the received dual-function waveform, while operating with a given bit budget. In this paper, we design bit constrained communication receivers in dual-function systems, by considering hybrid analog/digital architectures and treating their operation as task-based quantization. We study two forms of analog processing in these hybrid receivers, allowing to combine inputs in different time instances and antennas or only in different antennas at the same time instance. Simulation results demonstrate that the proposed taskbased quantization strategy outperforms receivers operating only in the digital domain with the same total number of quantization bits.

Quantisation‐based target detection for cooperative multiple input multiple output radar and communications with multiple stations

“…In Ref. [16], the bit constrained communication receivers in dual‐function systems are designed to recover the transmit communication message from the quantised samples. In Ref.…”

FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

“…Considering the similarities of radar and communications in hardware and signal processing, an alternative strategy is to jointly design both functionalities as a dual function radar-communications (DFRC) system. Such dual-function systems are the focus of extensive research attention over recent years [2]- [19]. Jointly implementing both systems in a common platform contributes to reducing the system cost, size, weight, and power consumption, as well as alleviating concerns for electromagnetic compatibility and spectrum congestion, making it an attractive technology for vehicular applications [2], [20].…”

“…An alternative strategy is to realize radar sensing based on conventional communication waveforms [5], [11]. When radar is the primary user, another scheme embeds the information bits into traditional radar waveforms [16]- [19].The fourth method is to design an optimized waveform according to the objectives and constraints from the dual functionalities [3], [6], [7]. The pros and cons of each category were analyzed in [2] according to the radar and communications requirements in vehicular applications.…”