Asymmetric signaling constellations for phase estimation

Thaiupathump, Trasapong; Murphy, C.D.; Kassam, S.A.

doi:10.1109/ssap.2000.870103

Cited by 13 publications

(16 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Isaka et al emphasize unconventional signal set partitioning for asymmetric constellations to achieve unequal error protection capability with multilevel coding and multistage decoding [47]. Nonetheless, moving some symbols close to each other may result in more erroneous symbol decisions depending on the underlying application [244]. GS can be realized using the following well-known methodologies.…”

Section: A Asymmetric Signal Designmentioning

confidence: 99%

See 1 more Smart Citation

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

Javed

Amin

Shihada

et al. 2020

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation between a random entity and its complex conjugate), respectively, introduces new design freedom and various potential merits. As such, the theory of impropriety has vast applications in medicine, geology, acoustics, optics, image and pattern recognition, computer vision, and other numerous research fields with our main focus on the communication systems. The journey begins from the design of improper Gaussian signaling in the interference-limited communications and leads to a more elaborate and practically feasible asymmetric discrete modulation design. Such asymmetric shaping bridges the gap between theoretically and practically achievable limits with sophisticated transceiver and detection schemes in both coded/uncoded wireless/optical communication systems. Interestingly, introducing asymmetry and adjusting the transmission parameters according to some design criterion render optimal performance without affecting the bandwidth or power requirements of the systems. This dual-flavored article initially presents the tutorial base content covering the interplay of reality/complexity, propriety/impropriety and circularity/non-circularity and then surveys majority of the contributions in this enormous journey.

show abstract

Section: A Asymmetric Signal Designmentioning

confidence: 99%

“…However, the performance gain up to 97.50% reduced SEP along with the absolute phase estimation comes at some cost. It is very small reduction in entropy and/or minimum distance owing to the unequally probable symbols and/or unequal symbol spacing, respectively, introducing asymmetry in the constellation [244].…”

Section: Communication Systemsmentioning

confidence: 99%

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

Javed

Amin

Shihada

et al. 2020

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…Since isometry is a modulation-induced phase ambiguity, it is natural to consider a modulation-based solution. Asymmetric signal constellation (ASC), previously used for phase estimation in AWGN channels [8], [9], is shown to be a novel, bandwidth-efficient, and robust modulation-based solution to isometry and phase ambiguity in CE/DD by ensuring that no sequence is the phase-rotated version of another.…”

Section: Introductionmentioning

confidence: 99%

Isometric Data Sequences and Data-Modulation Schemes in Fading Channels

Lam

Plataniotis

Pasupathy

2004

IEEE Trans. Commun.

View full text Add to dashboard Cite

In multiplicative fading channels, joint channel estimation and data detection (CE/DD) schemes cannot differentiate among certain sequences of amplitude-and/or phase-modulated (AM/PM) symbols drawn from rotationally invariant signal constellations. This paper identifies these so-called isometric sequences as the main source of performance degradation, and introduces a unifying framework that effectively solves the problem by using asymmetric signal constellations (ASC) and a normalized innovations-based detector. The encompassing nature of the solution is clearly demonstrated by showing that seemingly unrelated previous results, such as training-based solutions, can be viewed as special cases of the modulation-based solution discussed here. A comprehensive analysis, supported by simulation studies, of the relationships among modulation schemes, isometry, and detection performance is provided. Results indicate that the proposed ASC solution offers excellent performance without incurring significant complexity or reducing the transmission rate. Furthermore, it is shown to be robust in various fading rates, and for different signal constellations.

show abstract

“…In order to achieve this target the channel code has to satisfy an asymmetry condition. In [5], [6] asymmetric signaling constellations were utilized for phase correct blind estimation techniques. However, code asymmetry does not necessarily involve symbol asymmetry.…”

Section: Introductionmentioning

confidence: 99%

On Phase Correct Blind Deconvolution of Flat MIMO Channels Exploiting Channel Encoding

Scherb

Kühn

Kammeyer

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

View full text Add to dashboard Cite

Abstract-In this paper we propose a new algorithm separating blindly the sources of a flat MIMO-communication link, where all sources are independently channel encoded. To this end the proposed method exploits statistical dependencies caused by the channel code for blindly estimating the channel and simultaneously adjusting a linear equalizer. In contrast to most common blind source separation methods the suggested method completely resolves the phase and permutation ambiguity of the estimated channel impulse response and the equalizer. The performance of the presented method will be evaluated by numerical results.

show abstract

Asymmetric signaling constellations for phase estimation

Cited by 13 publications

References 3 publications

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

Isometric Data Sequences and Data-Modulation Schemes in Fading Channels

On Phase Correct Blind Deconvolution of Flat MIMO Channels Exploiting Channel Encoding

Contact Info

Product

Resources

About