Intrapulse radar-embedded communications via multiobjective optimization

Ciuonzo, Domenico; Maio, Antonio De; Foglia, Goffredo; Piezzo, Marco

doi:10.1109/taes.2015.140821

Cited by 119 publications

(80 citation statements)

References 19 publications

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“…Discussion 1) Implication: Note that the MI (12), (19) and (24) have a similar expression as a function of radar transmit waveform x k , which results in a similar structure between the target parameter estimation requirement constraints (15b), (20b) and (25b), and hence P O-1 , P O-2 and P O-3 . Thus, we can present the optimal OFDM radar waveform design algorithms for the three scenarios under a unifying framework.…”

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 94%

“…Next, we define the achievable MI between y and H r as shown in (19) [see (19) at the top of the next page], which corresponds to the area with the horizontal red stripes and vertical green stripes in Fig.2.…”

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

“…One can see from (19) that the scattering off the target due to the communication signal is considered as interference. Similarly, the optimal radar waveform design approach is expressed as follows:…”

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

“…Thus, we can present the optimal OFDM radar waveform design algorithms for the three scenarios under a unifying framework. It should be noted from the SINR term of the MI expressions in (12), (19), and (24) that the reflections off the target due to the communication signals contribute to the signal part in (12), to the interference part in (19) and to neither in (24) [14].…”

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

See 3 more Smart Citations

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Shi

Wang

Sellathurai

et al. 2018

IEEE Trans. Signal Process.

266

144

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Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 94%

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

Section: Optimal Radar Waveform Design Criterionmentioning

confidence: 99%

See 2 more Smart Citations

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Shi

Wang

Sellathurai

et al. 2018

IEEE Trans. Signal Process.

266

144

View full text Add to dashboard Cite

“…The other is based on waveform sharing and has two types. One is that the communication information is hidden in the conventional radar waveforms [10]; the other is that the communication waveforms generally employed are either slightly changed or not [11].…”

Section: Introductionmentioning

confidence: 99%

Cognitive Waveform Design for Radar-Communication Transceiver Networks

Yao

2018

Journal of Advanced Transportation

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The system architecture for cognitive radar-communication (CRC) transceiver is proposed. A cognitive waveforms design approach, which is suitable for simultaneously performing both data communication and target detection, is presented. This approach aims at estimating target scattering coefficient (TSC) from the radar scene and facilitating high data rate communications. In order to minimize the mean square error (MSE) of the TSC, a convex cost function is established. The peak to average power ratio-(PAPR-) constrained optimal solution is achieved by applying the Kalman filtering-based strategy to design the set of ultrawideband (UWB) transmission pulses and embed into them the information data with the M-ary position phase shift keying modulation technique. In addition to theoretical considerations, the simulation results show an improvement in target scattering coefficient (TSC) estimation and target detection probability as the number of iterations increases, while still transmitting data rates in the range of several Mbps with low bit error rates between CRC transceivers.

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Robust sidelobe amplitude and phase modulation for dual‐function radar‐communications

Ferreira

Sampaio‐Neto

Fortes

2018

Trans Emerging Tel Tech

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In this paper, we address the topic of sidelobe modulation in dual‐function radar‐communication platforms, which consists in embedding communication messages into the radar emissions by varying the phase and/or amplitude values of the radar transmit beampattern at a receiver direction within the sidelobe. An advantage of this type of communication link is that it is inherently secure as the communication symbol is transmitted correctly only at a specific direction. However, this advantage may become a major problem, causing an expressive decrease in performance, if the real receiver position does not match exactly the predefined one. This scenario easily arises from the relative movement between the radar and the receiver. We propose 2 original methods for embedding the sidelobe amplitude/phase modulation into the radar transmit beampattern that have simple closed‐form equations and are robust to small angular errors in the receiver's direction. We also propose a noncoherent signaling strategy for sidelobe phase modulation and present its analytical bit error rate expression for the binary case. Simulation results and comparisons illustrate the advantages of the proposed techniques.

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Intrapulse radar-embedded communications via multiobjective optimization

Cited by 119 publications

References 19 publications

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

Cognitive Waveform Design for Radar-Communication Transceiver Networks

Robust sidelobe amplitude and phase modulation for dual‐function radar‐communications

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