A Novel Joint Radar and Communication System Based on Randomized Partition of Antenna Array

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Shlezinger

et al. 2020

Self Cite

Modern radar systems are expected to operate reliably in congested environments under cost and power constraints. A recent technology for realizing such systems is frequency agile radar (FAR), which transmits narrowband pulses in a frequency hopping manner. To enhance the target recovery performance of FAR in complex electromagnetic environments, we propose two radar schemes extending FAR to multi-carrier waveforms. The first is Wideband Multi-carrier Agile Radar (WMAR), which transmits/receives wideband waveforms simultaneously with every antenna. To avoid the increased cost associated with wideband waveforms used by WMAR, we next propose multi-Carrier AgilE phaSed Array Radar (CAESAR). CAESAR uses narrowband monotone waveforms, thus reducing system complexity significantly, while introducing spatial agility. We characterize the transmitted and received signals of the proposed schemes, and develop an algorithm for recovering the targets, which combines concepts from compressed sensing to estimate the range-Doppler parameters of the targets. We derive conditions which guarantee their accurate reconstruction. Our numerical study demonstrates that both multi-carrier schemes improve performance compared to conventional FAR while maintaining its practical benefits. We also demonstrate that the performance of CAESAR, which uses monotone waveforms, is within a small gap from the more costly wideband radar.

Section: Angle and Scattering Intensity Estimationmentioning

confidence: 99%

Theoretical Analysis of Multi-Carrier Agile Phased Array Radar

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Shlezinger

et al. 2020

Self Cite

“…Since the frequency indices {c k } and the selection matrices {P k } are integers and binary matrices, respectively, the above problem is generally NP-hard. In particular, solving (20) involves exhaustively searching over and P, resulting in high computational complexity. This increased complexity settles with the fact that optimal index modulation decoding is typically computationally complex [29].…”

Section: A Optimal ML Decodermentioning

confidence: 99%

“…Here, we present a sub-optimal detection method. Instead of jointly estimating {c k , P k } in (20), our proposed strategy operates in an iterative manner: It first initializes the frequency estimates {c k } using sparse recovery, possibly via simple fast Fourier transformation (FFT) followed by thresholding. Then, we iteratively recover the spatial selection matrices {P k }, and refine the estimation of {c k } in an alternating fashion.…”

Section: B Low Complexity Receiver Designmentioning

confidence: 99%

“…Codeword design approaches are also proposed to further facilitate decoding, at the cost of reducing the information rate. The main advantage of MAJoRCom over previously proposed DFRC systems, e.g., [10]- [13], [17], [20], is that it provides the ability to communicate without affecting the radar subsystem, while supporting the usage of simple narrowband transceivers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Dual-Function Radar Communication System Using Index Modulation

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Liu

et al. 2019

Self Cite

Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, and cost, over using distinct radar and communication systems. Since these functionalities share resources such as spectrum, power, and antennas, DFRC methods typically entail some degradation in both radar and communication performance. In this work we propose a DFRC scheme based on the carrier agile phased array radar (CAESAR), which combines frequency and spatial agility. The proposed DFRC system, referred to as multi-carrier agile joint radar communication (MAJoRCom), exploits the inherent spatial and spectral randomness of CAESAR to convey digital messages in the form of index modulation. The resulting communication scheme naturally coexists with the radar functionality, and thus does not come at the cost of reduced radar performance. We analyze the performance of MAJoRCom, quantifying its achievable bit rate. In addition, we develop a low complexity decoder and a codebook design approach, which simplify the recovery of the communicated bits. Our numerical results demonstrate that MAJoRCom is capable of achieving a bit rate which is comparable to utilizing independent communication modules without affecting the radar performance, and that our proposed low-complexity decoder allows the receiver to reliably recover the transmitted symbols with an affordable computational burden. arXiv:1909.04223v1 [eess.SP]

“…The common DFRC setup considers systems acting as radar transceivers which communicate with some remote receiver. Consequently, the main focus in DFRC research is on the design of the dual-function system and waveforms applicable for both sensing and information transmission [6][7][8][9][10][11][12][13][14][15][16], often resulting in wideband radaroriented signaling which require high computational resources to reliably decode at the receiver side. In various prospective DFRC use cases, such as vehicle-to-infrastructure (V2I) communications, the receiver is a hardware-limited power-constrained device, e.g., a D. Ma, T. Huang and Y. Liu are with the Department of EE, Tsinghua University, Beijing, China (e-mail: mdy16@mails.tsinghua.edu.cn; {huangtianyao, yiminliu}@tsinghua.edu.cn).…”

Section: Introductionmentioning

confidence: 99%

Bit Constrained Communication Receivers In Joint Radar Communications Systems

Shlezinger

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

et al. 2021

Self Cite

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.