A view on radar and communication systems coexistence and dual functionality in the era of spectrum sensing

Martone, Anthony F.; Amin, Moeness G.

doi:10.1016/j.dsp.2021.103135

Cited by 51 publications

(15 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spectral congestion problems demand the radar frequency band share to fulfill the requirements. The feasibility of sharing the hardware platform between radar functioning and communication system is the highest among the available options [4]. Currently, L-band, S-band, C-band, and mmwave band are existing cases that share the frequency spectrum.…”

Section: Wirelessmentioning

confidence: 99%

Hybrid Beamforming for Dual Functioning Multi-input Multi-output Radar using Dimension Reduced-baseband Piecewise Successive Approximation

Kadam¹,

Deshmukh

Bhosale³

2023

IJE

View full text Add to dashboard Cite

show abstract

Section: Wirelessmentioning

confidence: 99%

Hybrid Beamforming for Dual Functioning Multi-input Multi-output Radar using Dimension Reduced-baseband Piecewise Successive Approximation

Kadam¹,

Deshmukh

Bhosale³

2023

IJE

View full text Add to dashboard Cite

show abstract

“…Due to advances in vehicular infrastructure and the need for driverless vehicles, studies into the feasibility of the cohabitation of various sensors operating at diverse spectrum bands began to emerge [1]- [3]. This was further exacerbated by the congestion of the below 6GHz spectrum band mainly used for low earth spectrum applications.…”

Section: Introductionmentioning

confidence: 99%

“…This was further exacerbated by the congestion of the below 6GHz spectrum band mainly used for low earth spectrum applications. A prominent sandwich of application in most discourse is radar and wireless communication (herein referred to as communication) applications with critical reviews presented in [1], [4]. Both spectrum, in principle can collaborate via cohabitation, co-design and cooperation [4].…”

Section: Introductionmentioning

confidence: 99%

Interference and noise cancellation for joint communication radar (JCR) system based on contextual information

Nnamani¹,

Sellathurai²

2023

Preprint

View full text Add to dashboard Cite

This paper examines the separation of wireless communication and radar signals, thereby guaranteeing cohabitation and acting as a panacea to spectrum sensing. First, considering that the channel impulse response was known by the receivers (communication and radar), we showed that the optimizing beamforming weights mitigate the interference caused by signals and improve the physical layer security (PLS) of the system. Furthermore, when the channel responses were unknown, we designed an interference filter as a low-complex noise and interference cancellation autoencoder. By mitigating the interference on the legitimate users, the PLS was guaranteed. Results showed that even for a low signal-to-noise ratio, the autoencoder produces low root-mean-square error (RMSE) values.

show abstract

“…In MIMO radar, this variety tends to be spatial, which reduces the radar cross-section scintillation and improves target echo detection. This diversity is established in the form of waveform diversity, which improves localization, identifiability, and the ability to unswervingly apply adaptive methods and digital beamforming [4,5].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Beamforming for Dual Functioning MIMO Radar Using EnhancedSocial Ski Drivers Algorithm

2023

IJIES

View full text Add to dashboard Cite

Inflated communication traffic and expanding radar applications result in frequency congestion and require extra spectrum resources. Dual-functioning multi input multi output radar benefits both sensing and communication operations via real-time cooperation. This decongests the radio frequency environment and allows a single hardware platform for both functionalities. Analog beamforming fails to provide multiplexing gain and digital beamforming is not preferred practically because of heavy power consumption. A reliable hybrid beamforming design is an inherent requirement due to the concerns related to limited RF chains, interference and the cost of fully-digital beamforming. In this paper, Enhanced-Social Ski Driver's algorithm is presented to investigate the performance of hybrid beamforming in dual-functioning MIMO radar. This study investigates location-based direction sensing for Rayleigh and Rician fading channels. This amendment provides improved performance with a minimal bit error rate, maximum gain, and significant normalized array power distribution. The simulation results show 24% reduction in bit error rate, 15% improvement in gain and persistent array power than existing social ski driver's algorithm.

show abstract

A view on radar and communication systems coexistence and dual functionality in the era of spectrum sensing

Cited by 51 publications

References 76 publications

Hybrid Beamforming for Dual Functioning Multi-input Multi-output Radar using Dimension Reduced-baseband Piecewise Successive Approximation

Hybrid Beamforming for Dual Functioning Multi-input Multi-output Radar using Dimension Reduced-baseband Piecewise Successive Approximation

Interference and noise cancellation for joint communication radar (JCR) system based on contextual information

Hybrid Beamforming for Dual Functioning MIMO Radar Using EnhancedSocial Ski Drivers Algorithm

Contact Info

Product

Resources

About