Waveform design for joint radar-communication system with multi-user based on MIMO radar

Li, Qingyu; Ling, Hoe I.; Song, Jian

doi:10.1109/radar.2017.7944238

Cited by 25 publications

(29 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…13, we see that as N increases, the estimation rate increases and the spectral water-filling SIC data rate decreases. The improvement in estimation rates as N increases is because there are more degrees of freedom available to shape the optimal radar waveform spectrum obtained by solving the optimization problem in (21). As a result of these increased degrees of freedom, optimal radar waveforms are obtained that have better or lower autocorrelation side-lobe levels (a trend we observed earlier).…”

Section: Impact Of Order Of Chirp Phasementioning

confidence: 57%

“…described in Section IV-B, all the results presented below were obtained by solving the optimization problem in (21) using fmincon [45] for 100 Monte-Carlo runs with randomized initial solutions and selecting the solution with the highest objective value.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Spread spectrum waveforms have also been proposed for their autocorrelation properties [15]- [17], and multiple-input multiple-output (MIMO) radar techniques have been suggested, given that the independent transmitted waveforms allow more degrees of freedom for joint radar-communications codesign [18]- [20]. Multiple orthogonal linear frequency-modulated (FM) chirps have also been proposed to accomplish both radar detection and communications transmissions in a MIMO system [21]. Both systems have fundamentally different waveform requirements and that is why, contrary to the aforementioned approaches, the waveform design method proposed in this paper assumes that radar and communications systems transmit separate waveforms.…”

Section: B Backgroundmentioning

confidence: 99%

“…SNR value, we solve (21) and evaluate the estimation rate from (8) and spectral water-filling SIC data rate from (7). Fig.…”

Section: Impact Of Order Of Chirp Phasementioning

confidence: 99%

See 3 more Smart Citations

Novel Radar Waveform Optimization for a Cooperative Radar-Communications System

Chiriyath

Ragi

Mittelmann

et al. 2019

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

We develop and present a novel minimum estimation error variance waveform design method. The method optimizes the spectral shape of a unimodular radar waveform such that the performance of a joint radar-communications system that shares spectrum is maximized. We also develop the novel spectral water-filling successive interference cancelation data rate, which employs the continuous spectral water-filling algorithm to obtain the optimal communications power spectrum. We perform a numerical study to compare the performance of the new technique with the previously derived spectral mask shaping method. The global estimation rate and the data rate capture the radar and the communications performance, respectively.

show abstract

Section: Impact Of Order Of Chirp Phasementioning

confidence: 57%

Section: Simulation Resultsmentioning

confidence: 99%

Section: B Backgroundmentioning

confidence: 99%

“…SNR value, we solve (21) and evaluate the estimation rate from (8) and spectral water-filling SIC data rate from (7). Fig.…”

Section: Impact Of Order Of Chirp Phasementioning

confidence: 99%

See 2 more Smart Citations

Novel Radar Waveform Optimization for a Cooperative Radar-Communications System

Chiriyath

Ragi

Mittelmann

et al. 2019

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

show abstract

“…It was also shown that a radar can improve its target estimation performance by utilizing the communication signals scattered off the target in a passive way. In [ 15 ], Zhang et al presented a quasi-orthogonal multi-carrier waveform optimization approach for the joint radar and communication system, and it was shown that the proposed waveform can meet the requirement of the target detection and multi-user transmission at the same time, which is suitable for intelligent transportation systems. Chalise et al analyzed the performance trade-off for a unified passive radar and communication system [ 1 ], and the probabilities of false alarm and detection were computed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Allocation Strategy in a Joint Bistatic Radar and Communication System Based on Low Probability of Intercept

Shi

Wang

Salous

et al. 2017

Sensors

View full text Add to dashboard Cite

In this paper, we investigate a low probability of intercept (LPI)-based optimal power allocation strategy for a joint bistatic radar and communication system, which is composed of a dedicated transmitter, a radar receiver, and a communication receiver. The joint system is capable of fulfilling the requirements of both radar and communications simultaneously. First, assuming that the signal-to-noise ratio (SNR) corresponding to the target surveillance path is much weaker than that corresponding to the line of sight path at radar receiver, the analytically closed-form expression for the probability of false alarm is calculated, whereas the closed-form expression for the probability of detection is not analytically tractable and is approximated due to the fact that the received signals are not zero-mean Gaussian under target presence hypothesis. Then, an LPI-based optimal power allocation strategy is presented to minimize the total transmission power for information signal and radar waveform, which is constrained by a specified information rate for the communication receiver and the desired probabilities of detection and false alarm for the radar receiver. The well-known bisection search method is employed to solve the resulting constrained optimization problem. Finally, numerical simulations are provided to reveal the effects of several system parameters on the power allocation results. It is also demonstrated that the LPI performance of the joint bistatic radar and communication system can be markedly improved by utilizing the proposed scheme.

show abstract

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection

et al. 2020

View full text Add to dashboard Cite

Community is an important topological characteristic of complex networks, which is significant for understanding the structural feature and organizational function of networks, and community detection has recently attracted considerable research effort. Among community detection methods, label propagation technology is widely used because of its linear time complexity. However, due to the randomness of the node order of label updating and the order of label launching in label propagation, the instability of community detection approaches based on label propagation becomes a challenge. In this paper, a new label propagation algorithm, Node Ability based Label Propagation Algorithm (NALPA), is proposed to discover communities in networks. Inspired from human society and radar transmission, we design four node abilities (propagation ability, attraction ability, launch ability and acceptance ability), label influence and a new label propagation mechanism to deal with the instability and enhance the efficiency. Experimental results on 42 synthetic and 14 real-world networks demonstrate that NALPA outperforms state-of-the-art approaches in most cases. In a case study, NALPA is applied to a drug network in Traditional Chinese Medicine (TCM) and can discover the drug communities where drugs have similar efficacy for treating Chronic GlomeruloNephritis (CGN).

show abstract

Waveform design for joint radar-communication system with multi-user based on MIMO radar

Cited by 25 publications

References 7 publications

Novel Radar Waveform Optimization for a Cooperative Radar-Communications System

Novel Radar Waveform Optimization for a Cooperative Radar-Communications System

Optimal Power Allocation Strategy in a Joint Bistatic Radar and Communication System Based on Low Probability of Intercept

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection

Contact Info

Product

Resources

About