M‐ary phase position shift keying with orthogonal signalling

Lu, Conghui; Wu, Lenan; Chen, Peng; Wang, Jiwu; Liu, Huaping

doi:10.1049/iet-com.2014.0556

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…In this way, we can obtain an acceptable BER for communications [39]. As described in the previous sections, the orthogonality between CRC transmission waveforms is maintained for radar waveform optimization purposes.…”

Section: Simulation Results and Discussionmentioning

confidence: 97%

“…The time hopping scheme for MPPSK waveform has been analyzed in the literature [39]. The UWB-MPPSK pulse waveforms are defined by…”

Section: Uwb-mppsk Waveformsmentioning

confidence: 99%

“…UWB-MPPSK waveform communications offer high data rates for communications and good immunity against multipath fading over short ranges. According to the literature [39], the BER for such a UWB-MPPSK waveform is given as…”

Section: Uwb-mppsk Waveformsmentioning

confidence: 99%

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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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Section: Simulation Results and Discussionmentioning

confidence: 97%

“…The time hopping scheme for MPPSK waveform has been analyzed in the literature [39]. The UWB-MPPSK pulse waveforms are defined by…”

Section: Uwb-mppsk Waveformsmentioning

confidence: 99%

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Cognitive Waveform Design for Radar-Communication Transceiver Networks

Yao

2018

Journal of Advanced Transportation

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“…To satisfy the need of high‐speed data rate in the wireless communication systems, the wide‐band radio‐frequency bandwidth is allocated. Since the frequency resources are valuable, a class of efficient modulation techniques, named as ‘ultra‐narrow band’, has been proposed and discussed [1–4]. On the basis of the extended binary phase shift keying (EBPSK) [5], an m ‐ary phase position shift keying (MPPSK) modulation as a multi‐band form of EBPSK is put forward.…”

Section: Introductionmentioning

confidence: 99%

NN‐based IDF demodulator in band‐limited communication system

Meng

Chen

2018

IET Communications

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“…Since the frequency resources are valuable, a class of efficient modulation techniques named as "Ultra Narrow Band (UNB)" has been concerned [1][2][3][4]. Based on the extended binary phase shift keying (EBPSK) [5], an m-ary phase position shift keying (MPPSK) modulation is considered as a multi-level form of EBPSK.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Receiver in Band-Limited Communication System with MPPSK Modulation

Wang

Meng

2018

ITM Web Conf.

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Abstract. As a type of the spectrally efficient modulation, the m-ary phase position shift keying (MPPSK) has been considered to meet the increasing spectrum requirement in the future wireless system. To limit the signal bandwidth and cancel the out-band interference the band-pass filters are used, which introduce the waveform distortion and inter-symbol interference (ISI). Therefore, a single hidden-layer neural network (NN)-based receiver is proposed to jointly equalize and demodulate the received signal. The impulse response of the system is static and the network parameters can be obtained after off-line training. The number of the hidden nodes is also determined through simulations. Simulation results show that the NN-based receiver works well in the communication system with different allocated bandwidths. By observing the modified confusion matrix, the false symbol decision is relevant to modulation index, waveform distortions and the ISI.

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M‐ary phase position shift keying with orthogonal signalling

Cited by 7 publications

References 29 publications

Cognitive Waveform Design for Radar-Communication Transceiver Networks

Cognitive Waveform Design for Radar-Communication Transceiver Networks

NN‐based IDF demodulator in band‐limited communication system

Neural Network-Based Receiver in Band-Limited Communication System with MPPSK Modulation

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