Orthogonal Time Frequency Space (OTFS) Modulation Based Radar System

Raviteja, P.; Phan, Khoa T.; Hong, Yi; Viterbo, Emanuele

doi:10.48550/arxiv.1901.09300

Cited by 2 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now, by letting g tx (t) and g rx (t) be rectangular pulses of length T , by limiting the channel delay to τ max < T , it readily follows that the cross-ambiguity function yields non-zero samples only for n = n and n = n − 1. Hence, the entries of the cross-talk matrix Ψ p k,k [l, l ] can be thus written as in (14), in which we exploited the expression of the approximated cross-ambiguity function for rectangular pulses given by…”

Section: Otfs Input-output Relationmentioning

confidence: 99%

“…[1, Section III. B], [3], [6], [12]- [14]). It is worth noticing that a synergistic waveform design for joint radar and communications yields a significant potential gain compared to the resourcesharing approach, as demonstrated in a simplified albeit representative information theoretic framework in [15].…”

Section: Introductionmentioning

confidence: 99%

“…1) we propose an efficient algorithm to estimate range and velocity for OTFS modulation employing practical rectangular pulses over a P -path time-frequency selective radar channel. The proposed algorithm is different from the one recently proposed in [14]. While [14] focuses on a low-complexity matched filter approach, we consider ML parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed algorithm is different from the one recently proposed in [14]. While [14] focuses on a low-complexity matched filter approach, we consider ML parameter estimation. Our proposed algorithm coincides with the ML estimator for a single path channel (P = 1) and it performs also very well for P > 1.…”

Section: Introductionmentioning

confidence: 99%

“…Our proposed algorithm coincides with the ML estimator for a single path channel (P = 1) and it performs also very well for P > 1. Furthermore, our proposed algorithm is able to handle continuous values of delay and Doppler, contrary to [14] that assumes discretized delays.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On the Effectiveness of OTFS for Joint Radar and Communication

Gaudio,

Kobayashi,

Caire

et al. 2019

Preprint

View full text Add to dashboard Cite

We consider a joint radar estimation and communication system using orthogonal time frequency space (OTFS) modulation. The scenario is motivated by vehicular applications where a vehicle equipped with a mono-static radar wishes to communicate data to its target receiver, while estimating parameters of interest related to this receiver. In a point-to-point communication setting over multi-path time-frequency selective channels, we study the joint radar and communication system from two perspectives, i.e., the radar estimation at the transmitter as well as the symbol detection at the receiver. For the radar estimation part, we derive an efficient approximated Maximum Likelihood algorithm and the corresponding Cramér-Rao lower bound for range and velocity estimation. Numerical examples demonstrate that multi-carrier digital formats such as OTFS can achieve as accurate radar estimation as state-of-the-art radar waveforms such as frequency-modulated continuous wave (FMCW). For the data detection part, we focus on separate detection and decoding and consider a soft-output detector that exploits efficiently the channel sparsity in the Doppler-delay domain. We quantify the detector performance in terms of its pragmatic capacity, i.e. the achievable rate of the channel induced by the signal constellation and the detector soft output. Simulations show that the proposed scheme outperforms concurrent state-of-the-art solutions.Overall, our work shows that a suitable digitally modulated waveform enables to efficiently operate joint radar and communication by achieving full information rate of the modulation and near-optimal radar estimation performance. Furthermore, OTFS appears to be particularly suited to the scope.

show abstract

Section: Otfs Input-output Relationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the Effectiveness of OTFS for Joint Radar and Communication

Gaudio,

Kobayashi,

Caire

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

Performance Analysis of Joint Radar and Communication using OFDM and OTFS

Gaudio

Kobayashi

Bissinger

et al. 2019

2019 IEEE International Conference on Communications Workshops (ICC Workshops)

View full text Add to dashboard Cite

We consider a joint radar estimation and communication system using orthogonal frequency division multiplexing (OFDM) and orthogonal time frequency space (OTFS) modulations. The scenario is motivated by vehicular applications where a vehicle equipped with a mono-static radar wishes to communicate data to its target receiver, while estimating parameters of interest related to this receiver. By focusing on the case of a single target, we derive the maximum likelihood (ML) estimator and the Cramér-Rao lower bound on joint velocity and range estimation. Numerical examples demonstrate that both digital modulation formats can achieve as accurate range/velocity estimation as state-of-the-art radar waveforms such as frequency modulated continuous wave (FMCW) while sending digital information at their full achievable rate. We conclude that it is possible to obtain significant data transmission rate without compromising the radar estimation capabilities of the system.

show abstract

Orthogonal Time Frequency Space (OTFS) Modulation Based Radar System

Cited by 2 publications

References 14 publications

On the Effectiveness of OTFS for Joint Radar and Communication

On the Effectiveness of OTFS for Joint Radar and Communication

Performance Analysis of Joint Radar and Communication using OFDM and OTFS

Contact Info

Product

Resources

About