Continuous Phase Modulation--Part I: Full Response Signaling

Aulin, T.; Sundberg, C.-E.W.

doi:10.1109/tcom.1981.1095001

Cited by 517 publications

(84 citation statements)

References 8 publications

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“…From the definition of the above class of constant amplitude modulation schemes the pulse g(t) is defined in instantaneous frequency and its integral q(t) is the phase response [1]. We normalized the pulse g(t) such that…”

Section: The Problem Statementmentioning

confidence: 99%

“…Thus, by choosing different pulses g(t) and varying h and M a great variety of CPM schemes can be obtained [1]. In this paper we are going to use a rectangular pulse of length L symbol intervals, which results in the LREC modulation also known as CPFSK (Continuous Phase Frequency Shift Keying) and a raised cosine pulse also of length L, named LRC modulation.…”

Section: The Problem Statementmentioning

confidence: 99%

“…Despite its attractive features [1], the widespread use of CPM has been so far hindered by a high level of complexity of the demodulation process. The optimum receiver for AWGN (Additive White Gaussian Noise) channel consists of a correlator followed by a maximum-likelihood estimator using a Viterbi-like algorithm.…”

Section: Introductionmentioning

confidence: 99%

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An algebraic receiver for full response CPM demodulation

Neves

Mboup

Fliesś

2006

2006 International Telecommunications Symposium

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Abstract-This paper proposes a new algebraic demodulation method for full response CPM signals in AWGN channel. The method is based in a new estimation/identification theory that has also already been used for channel identification and signal deconvolution. The signals and noise are considered to be deterministic and we find an explicit formula for the recovery of the transmitted symbols. Based on this formula, the symbols are recovered blindly, needing only the knowledge of the modulation index. The method is not only simple and robust to noise, but also very fast, what enables its implementation on-line. It can also be equally used for coherent or non-coherent demodulations. The method is applied to the CPFSK and LRC families of signals showing good results.

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Section: The Problem Statementmentioning

confidence: 99%

Section: The Problem Statementmentioning

confidence: 99%

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An algebraic receiver for full response CPM demodulation

Neves

Mboup

Fliesś

2006

2006 International Telecommunications Symposium

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“…In this paper, we discuss continuous-phase PC/ HC-MCM (CPPC/HC-MCM) using the technique of continuous-phase modulation (CPM) [4], [5] and demonstrate that CPPC/HC-MCM improves the spectral efficiency of PC/HC-MCM and results in an improvement of the BER performance at a fixed spectral efficiency even if the PAR is considered.…”

Section: Introductionmentioning

confidence: 99%

Continuous-Phase, Unmodulated Parallel-Combinatory High-Compaction Multicarrier Modulation

Hayashi

Hamamura

2011

IEICE Trans. Commun.

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SUMMARYA new type of modulation called continuous-phase parallel-combinatory high-compaction multicarrier modulation (CPPC/ HC-MCM) is proposed. CPPC/HC-MCM employs the technique of continuous-phase modulation (CPM) and avoids the formation of amplitude gaps between two successive signals to enhance the spectral efficiency of conventional PC/HC-MCM. Results of simulations show that CPPC/ HC-MCM is spectrally efficient and achieves a smaller bit error rate than conventional (unmodulated) PC/HC-MCM at a common spectral efficiency even if the peak-to-average power ratio is considered.

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“…C ONTINUOUS-PHASE modulation (CPM) [1]- [4] is a nonlinear modulation scheme, although the phase responds linearly to the input data. CPM has the advantage of excellent power and bandwidth efficiency with constant signal envelope.…”

Section: Introductionmentioning

confidence: 99%

MMSE-Optimal Approximation of Continuous-Phase Modulated Signal as Superposition of Linearly Modulated Pulses

Huang

Li²

2005

IEEE Trans. Commun.

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The optimal linear modulation approximation of any M-ary continuous-phase modulated (CPM) signal under the minimum mean-square error (MMSE) criterion is presented in this paper. With the introduction of the MMSE signal component, an M-ary CPM signal is exactly represented as the superposition of a finite number of MMSE incremental pulses, resulting in the novel switched linear modulation CPM signal models. Then, the MMSE incremental pulse is further decomposed into a finite number of MMSE pulse-amplitude modulated (PAM) pulses, so that an M-ary CPM signal is alternatively expressed as the superposition of a finite number of MMSE PAM components, similar to the Laurent representation. Advantageously, these MMSE PAM components are mutually independent for any modulation index. The optimal CPM signal approximation using lower order MMSE incremental pulses, or alternatively, using a small number of MMSE PAM pulses, is also made possible, since the approximation error is minimized in the MMSE sense. Finally, examples of the MMSE-optimal CPM signal approximation and its comparison with the Laurent approximation approach are given using raised-cosine frequency-pulse CPM schemes. -ary CPM signal is exactly represented as the superposition of a finite number of MMSE incremental pulses, resulting in the novel switched linear modulation CPM signal models. Then, the MMSE incremental pulse is further decomposed into a finite number of MMSE pulse-amplitude modulated (PAM) pulses, so that an -ary CPM signal is alternatively expressed as the superposition of a finite number of MMSE PAM components, similar to the Laurent representation. Advantageously, these MMSE PAM components are mutually independent for any modulation index. The optimal CPM signal approximation using lower order MMSE incremental pulses, or alternatively, using a small number of MMSE PAM pulses, is also made possible, since the approximation error is minimized in the MMSE sense. Finally, examples of the MMSE-optimal CPM signal approximation and its comparison with the Laurent approximation approach are given using raised-cosine frequency-pulse CPM schemes.Index Terms-Continuous-phase modulation (CPM), Laurent representation, minimum mean-square error (MMSE).

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Continuous Phase Modulation--Part I: Full Response Signaling

Cited by 517 publications

References 8 publications

An algebraic receiver for full response CPM demodulation

An algebraic receiver for full response CPM demodulation

Continuous-Phase, Unmodulated Parallel-Combinatory High-Compaction Multicarrier Modulation

MMSE-Optimal Approximation of Continuous-Phase Modulated Signal as Superposition of Linearly Modulated Pulses

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