OFDM Signal Compression Using Zero-Bit Extraction and Control Words
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Solution Overview
Problem
In OFDM wireless communication systems, the high data throughput and large Peak to Average Power Ratio (PAPR) result in extra zero bits, increasing the data size and transmission throughput, which is inefficient.
Innovation Solution
A method and apparatus for compressing and decompressing OFDM signals by scaling, differentiating, detecting zero bits, and generating a zero range control word to refine and combine signals, reducing data size through efficient removal and reinsertion of zero bits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If extra bits are added to extend the signal dynamic range in OFDM systems, then the signal dynamic range is improved, but the data size increases
Solution Approach 1:
The patent extracts and removes leading zero bits from the differentiated OFDM signal. By identifying and eliminating these redundant zero bits that do not contribute to signal dynamic range, the data size is reduced while maintaining the necessary signal characteristics.
Solution Approach 2:
The patent changes the representation parameters of the OFDM signal by applying differentiation to transform the signal domain, then removing zero bits based on threshold criteria. This parameter transformation allows compact representation without losing essential signal information.
2Quantity of substance
If zero bits are removed to compress data, then the data size is decreased, but the signal information may be lost
Solution Approach 1:
The patent applies preliminary differentiation to the OFDM signal before removing zero bits. This preliminary transformation ensures that the remaining non-zero bits contain all essential signal information, as the differentiation operation preserves the critical signal characteristics while eliminating redundant zero components.
Solution Approach 2:
The patent uses feedback mechanisms where the differentiated signal is processed through threshold-based zero bit removal, and the results are validated to ensure no critical signal information is lost. The system monitors signal reconstruction quality to confirm information integrity.
Data Source
AI summary
Data compression/decompression methods and data compressor/de-compressor are provided. The data compression method includes the steps of scaling an input signal to generate a scaled signal; transmitting the scaled signal to a differentiator and an assembler; differentiating the scaled signal and a prior signal to generate a differentiation signal detecting zero bits of the differentiation signal to generate a zero range control signal and a zero range control word; refining the differentiation signal according to the zero range control signal to generate a refined signal; and determining to combine the zero range control word with the scaled signal or combine the zero range control word with the refined signal according to the zero range control word to generate a compressed signal.