Constant envelope enhanced FQPSK and its performance analysis

Xie, Zhidong; Zhang, Gengxin; Bian, Dongming

doi:10.1109/jcn.2011.6112300

Cited by 4 publications

(9 citation statements)

References 9 publications

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“…The SNR is defined as the ratio of average power per bit transmission including power consumed in the up-link and down-link to average noise power. The type of the FQPSK modulation is CEEFQPSK scheme proposed in [21].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [21], it is noted that if the parameter q in waveform functions is an even number, the modulation signal envelope would keep strictly constant. According to this feature, we mainly discuss the modulation types with even q in Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The baseband signal of FQPSK is essentially constructed by sixteen waveforms s i (t), 0 ≤ i ≤ 15, these waveforms are described in [21]. In Fig.…”

Section: A Superimposed Signal Detectionmentioning

confidence: 99%

See 2 more Smart Citations

On symbol mapping for FQPSK modulation enabled Physical-layer Network Coding

Qin

Yang

Jiao

et al. 2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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The Feher quadrature phase shift keying (FQP-SK) modulation based Physical-layer Network Coding (PNC) is investigated in this paper, by which the nonlinear distortion effects resulted from the high power amplifier (HPA) in the system can be avoided. In our presented framework, a novel remapping rule for the FQPSK modulation in the PNC system is proposed to make a better bit error rate (BER) performance. Moreover, a joint demapping-and-demodulation scheme based on Low Density Parity Check (LDPC) is employed to recover the data bits with a low computational burden. Numerical results demonstrate the efficiency of the proposed method.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

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On symbol mapping for FQPSK modulation enabled Physical-layer Network Coding

Qin

Yang

Jiao

et al. 2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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“…e symbol signals used in the past are usually some simple empirical signal waveforms. For example, the application of rectangular waves in signals, such as quadrature phase shift keying modulation (QPSK) and offset quadrature phase shift keying modulation (OQPSK) and sine and cosine waves in the minimum shift keying signal (MSK) baseband modulation, have been used for the purpose of achieving a compressed band by a simple combined signal of the empirical waveform and by a filter [8][9][10][11][12]. e fourth-generation wireless communication uses OFDM as the basic modulation method, and rectangular signals are used as the baseband to transmit signals.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Analytic Solution and Numerical Solution of Baseband Symbol Signal Based on Optimal Generic Function

Liu

Xue

Makarov

et al. 2019

Mathematical Problems in Engineering

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In this paper, the optimal mathematical generic function model is established using the minimum out-of-band energy radiation criterion. Firstly, the energy limit conditions, boundary constraints, and peak-to-average ratio constraints are applied to the generic function model; thus, the analytical solutions are obtained under different parameters. Secondly, a single symbol signal energy constraint condition and boundary constraint condition are added to the generic function model; thus, the numerical solution of the different parameters is obtained. In the process of solving the analytical solution, the partial solution process is simplified to solve the analytical solution, and there are also digital truncation problems. In addition, the corresponding order of the Lagrange differential equation increases by a multiple of 2 when the parameter n increases, which makes the solution extremely complicated or even impossible to solve. The numerical solution is in line with the current development trend of digital communication, and there is no need to simplify the solution process in the process of solving the numerical solution. When the parameter n and the Fourier series m take different values, the obtained symbol signals can also meet the needs of different communication occasions. The relevant data of the above research process were solved by a MATLAB software simulation, which proves the correctness of the method and the superiority of the numerical method.

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“…Feher Quadrature Phase Shift Keying (FQPSK) [4]~ [5] was invented by K. Feher, which is a quasi-constant envelope modulation with excellent spectral and power performance and can be used for space communication. Constant Envelope Enhanced FQPSK (CEEFQPSK), we proposed in [6], is an improved modulation based FQPSK with better power and spectral performance.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimize FQPSK Modulation Concatenated with LDPC Code for Space Information Network

Xie¹,

He²,

Hu³

et al. 2015

Proceedings of the 4th International Conference on Information Technology and Management Innovation

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Because of the limited power and long propagation distance between spacecraft and Earth station, the high power efficiency is more important for space information system than others terrestrial communication system. Motivated by the potentially large gain achievable with iterative decoding, one novel coded modulation scheme based on LDPC code and FQPSK (Feher's QPSK) is designed and optimized in this paper, which can alleviate the challenge of signal power huge loss of communications path in space information system. The novel scheme improves power efficiency utilizing the property that LDPC code enables communication at very low signal noise rate and constant envelope property of FQPSK enables high power amplifier work at saturation states without nonlinear impact. At receiver, using iterative receive algorithm, large gain can be attained. The paper proposes concatenation scheme and optimizes it by computer assisted simulation. At last, the bit error rate performance of optimal scheme is confirmed.

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Constant envelope enhanced FQPSK and its performance analysis

Cited by 4 publications

References 9 publications

On symbol mapping for FQPSK modulation enabled Physical-layer Network Coding

On symbol mapping for FQPSK modulation enabled Physical-layer Network Coding

Comparative Study of Analytic Solution and Numerical Solution of Baseband Symbol Signal Based on Optimal Generic Function

Design and Optimize FQPSK Modulation Concatenated with LDPC Code for Space Information Network

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