Multi-Stream Signal Processing Reducing Peak-to-Average-Power Ratio
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Solution Overview
Problem
Existing data multiplexing and streaming systems face inefficiencies in cost, size, power consumption, flexibility, and signal fidelity due to peak amplitude excursions caused by replicating streams across multiple channels, leading to saturation and distortion.
Innovation Solution
A method and apparatus that process input signals to generate a combined signal with reduced peak-to-average-power ratio (PAR) by adjusting sub-channel representations, using techniques such as scaling, filtering, and frequency shifting, without significantly affecting average power, thus reducing signal peak excursions and supporting smaller dynamic ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If streams are replicated across multiple channels to simplify data multiplexing, then delivery efficiency is improved, but peak amplitude excursions increase causing saturation and distortion
Solution Approach 1:
The patent applies parameter changes by modifying the phase relationships between replicated sub-streams in the frequency domain. By adjusting phase parameters of replicated channels, the system maintains the benefits of replication for data delivery while controlling peak amplitude excursions that cause distortion.
Solution Approach 2:
The system performs preliminary processing of replicated sub-streams in the frequency domain before combining them. By pre-adjusting phase and amplitude parameters of replicated channels, the system prevents peak excursions from occurring during signal combination, thereby avoiding saturation and distortion.
2Reliability
If processing elements support very large dynamic range to handle structured signal variations, then signal fidelity is maintained, but device cost and complexity increase
Solution Approach 1:
The patent changes the statistical parameters of replicated signals by introducing phase randomization or deterministic phase patterns in the frequency domain. This transforms structured, high-excursion signals into more random-like signals with reduced peak factors, allowing standard dynamic range processing elements to maintain signal fidelity.
Solution Approach 2:
The system converts the harmful effect of structured signal replication into a benefit by deliberately introducing phase variations that randomize the combined signal characteristics. This transforms what would be high-excursion structured signals into lower-excursion random-like signals, reducing requirements for processing element dynamic range.
3Device complexity
If clipping distortion and saturation are accepted to reduce processing requirements, then device cost decreases, but signal quality deteriorates
Solution Approach 1:
The system performs preliminary phase and amplitude adjustments on replicated sub-streams in the frequency domain before combination. This pre-processing prevents clipping and saturation from occurring during the combining operation, thereby maintaining signal quality while allowing the use of processing elements with moderate dynamic range capabilities.
Data Source
AI summary
Embodiments of methods, apparatuses, and systems for signal processing of multiple input signals to control peak amplitudes of a combined signal are disclosed. One method includes receiving a plurality of input signals, generating a combined signal, the combined signal comprising a plurality of sub-channels, wherein each sub-channel includes a representation of at least a portion of at least one of the plurality of input signals, and processing the representation of the least a portion of the at least one of the plurality of input signals of at least one of the sub-channels, to reduce a peak-to-average-power ratio (PAR) of the combined signal.