Abstract:
The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characteri...Show MoreMetadata
Abstract:
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.
Published in: IEEE Communications Surveys & Tutorials ( Volume: 22, Issue: 3, thirdquarter 2020)
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- IEEE Keywords
- Index Terms
- Gaussian Signal ,
- Improper Gaussian ,
- Improper Gaussian Signaling ,
- Pattern Recognition ,
- Communication Systems ,
- Complex Conjugate ,
- Vision Research ,
- Power Requirements ,
- Numerous Fields ,
- Transmission Parameters ,
- Bandwidth Requirements ,
- Vast Applications ,
- Covariance Matrix ,
- Additive Noise ,
- Multiple-input Multiple-output ,
- Complete Characterization ,
- Linear Process ,
- Realistic Representation ,
- Achievable Rate ,
- Modulation Scheme ,
- Generalized Likelihood Ratio Test ,
- Quadrature Amplitude Modulation ,
- Multiple-access Channel ,
- Gaussian Random Vector ,
- Binary Phase Shift Keying ,
- Hardware Impairments ,
- Complex Representations ,
- Single-input Single-output ,
- Minimum Mean Square Error ,
- Broadcast Channel
- Author Keywords
- Improper Gaussian signaling ,
- asymmetric signaling ,
- circularity ,
- data analysis ,
- detection ,
- equalization ,
- error probability ,
- estimation ,
- filtering ,
- achievable rate ,
- impropriety degree ,
- outage probability ,
- power efficiency ,
- signal processing ,
- widely linear processing ,
- wireless communications
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Gaussian Signal ,
- Improper Gaussian ,
- Improper Gaussian Signaling ,
- Pattern Recognition ,
- Communication Systems ,
- Complex Conjugate ,
- Vision Research ,
- Power Requirements ,
- Numerous Fields ,
- Transmission Parameters ,
- Bandwidth Requirements ,
- Vast Applications ,
- Covariance Matrix ,
- Additive Noise ,
- Multiple-input Multiple-output ,
- Complete Characterization ,
- Linear Process ,
- Realistic Representation ,
- Achievable Rate ,
- Modulation Scheme ,
- Generalized Likelihood Ratio Test ,
- Quadrature Amplitude Modulation ,
- Multiple-access Channel ,
- Gaussian Random Vector ,
- Binary Phase Shift Keying ,
- Hardware Impairments ,
- Complex Representations ,
- Single-input Single-output ,
- Minimum Mean Square Error ,
- Broadcast Channel
- Author Keywords
- Improper Gaussian signaling ,
- asymmetric signaling ,
- circularity ,
- data analysis ,
- detection ,
- equalization ,
- error probability ,
- estimation ,
- filtering ,
- achievable rate ,
- impropriety degree ,
- outage probability ,
- power efficiency ,
- signal processing ,
- widely linear processing ,
- wireless communications