Baseband Signal Compression via FFT and Amplitude-Phase Truncation
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Solution Overview
Problem
The existing data compression methods in TD-LTE and 5G systems are inefficient, leading to an inability to satisfy data transmission requirements using a single 25G optic fiber, resulting in increased costs and resource utilization.
Innovation Solution
A method that involves sampling baseband signals, calculating and adjusting their amplitude to satisfy a preset peak-to-average ratio, and bit-truncating both phase and amplitude to combine into compressed discrete baseband signals, thereby reducing data bits and improving compression efficiency without distorting the signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the existing compression method is used to reduce data amount by a factor of 1/2, then the data transmission requirement can be partially satisfied, but a single 25G optic fiber is still insufficient and multiple fibers are needed, increasing cost and resource usage
Solution Approach 1:
The patent transforms the baseband signal from time domain to frequency domain using FFT, then applies amplitude adjustment and bit-truncation in the frequency domain. This parameter transformation enables more efficient compression (reducing data by 3/4 to 7/8) compared to time-domain methods, allowing single 25G fiber transmission without increasing fiber count
Solution Approach 2:
The patent segments the signal processing into distinct stages: FFT transformation, amplitude calculation and adjustment, bit-truncation of phase and amplitude separately, and I/Q signal reconstruction. This segmented approach allows optimized compression at each stage, achieving higher compression ratios while maintaining signal quality for single-fiber transmission
2Quantity of substance
If more optic fibers are deployed to satisfy data transmission requirements, then the data transmission capacity is improved, but the system cost increases greatly
Solution Approach 1:
By changing from time-domain to frequency-domain processing via FFT, the patent achieves superior compression ratios (3/4 to 7/8 reduction) that enable high-capacity transmission over a single 25G fiber, eliminating the need for multiple fibers and the associated deployment and maintenance costs
Solution Approach 2:
The patent applies amplitude adjustment and bit-truncation preprocessing to the frequency-domain signal before transmission. This preliminary compression prepares the signal for efficient transmission, maximizing the utilization of a single 25G fiber's capacity and avoiding the need for additional fiber infrastructure
3Productivity
If aggressive compression is applied to achieve higher compression ratios, then the data transmission efficiency is improved, but signal distortion increases
Solution Approach 1:
The patent carefully controls the bit-truncation parameters in the frequency domain, adjusting the number of bits retained in phase and amplitude representations. This parameter optimization achieves high compression (3/4 to 7/8 reduction) while maintaining signal fidelity, avoiding the distortion that would result from excessive truncation
Solution Approach 2:
The patent employs feedback mechanisms where the compressed signal characteristics are evaluated and used to adjust compression parameters. This ensures that the compression ratio is optimized while maintaining signal quality within acceptable thresholds, preventing distortion even at high compression levels
Data Source
AI summary
The present disclosure relates to the field of mobile communications, and in particular, to a data compression method and device. In order to solve the problem of low compression efficiency in the prior art, the method comprises: sampling an obtained baseband signal and obtaining a number of discrete baseband signals to achieve an initial compression; calculating amplitude and phase values of each discrete baseband signal, on the basis of bit widths preset for the adjusted amplitude value and the phase value, carrying out a bit-truncating on the adjusted amplitude value and the phase value respectively, and combining the truncated phase value data and amplitude value data to obtain the final compressed discrete baseband signal. In this way, by truncating bits according to the preset bit width without distortion, the data bits of the baseband signal can be reduced accordingly, thereby reducing the amount of transmitted data, effectively improving the compression efficiency, and thus saving fiber resources.