Look-Up Table Digital Filter Array for Broadband Signal Slicing
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Solution Overview
Problem
Existing broadband optical communication systems face inefficiencies in slicing broadband signals into multiple narrower sub-bands, as current methods like FIR and FFT/IFFT filters are resource-intensive and complex, limiting their applicability and scalability.
Innovation Solution
The use of look-up tables (LUTs) to process broadband optical signals, replacing resource-consuming multiplication operations with look-up table search and add operations, and pre-establishing multiple LUTs through off-line processing, which can be combined with other linear filters without significantly increasing complexity or resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If FIR or FFT/IFFT filters are used for broadband signal slicing, then sub-band generation is achieved, but resource consumption and system complexity increase significantly
Solution Approach 1:
The patent uses look-up tables (LUTs) to store pre-computed filter coefficients and intermediate calculation results, replacing real-time multiplication operations with table lookup and addition operations. This copying of pre-calculated values into accessible memory structures reduces the computational complexity of FIR and FFT/IFFT filters while maintaining their filtering functionality for broadband signal slicing.
Solution Approach 2:
The patent performs filter coefficient calculations and intermediate processing steps in advance, storing the results in look-up tables before actual signal processing occurs. This preliminary computation of filter parameters and pre-processing of signal data reduces the real-time computational burden during broadband signal slicing operations.
2Measurement precision
If traditional multiplication-based filtering operations are used, then accurate signal processing is achieved, but resource requirements and power consumption increase
Solution Approach 1:
The patent replaces the mechanical multiplication operation with a lookup table search and addition operation. Instead of performing computationally intensive multiplication in real-time, the system uses pre-stored values in LUTs that can be retrieved and added, significantly reducing power consumption while maintaining signal processing accuracy through careful LUT design and interpolation techniques.
3Productivity
If multiple look-up tables are used for signal processing, then processing efficiency is improved, but device size and resource utilization increase
Solution Approach 1:
The patent combines multiple look-up tables into unified or overlapping structures where possible, merging redundant data storage. By consolidating LUTs that serve similar functions and eliminating duplicate entries, the system maintains high processing speed through efficient LUT access while reducing the overall device size and resource utilization.
Solution Approach 2:
The patent designs look-up tables to serve multiple functions simultaneously - the same LUT structure is used for different filtering operations, signal processing stages, and parameter calculations. This multi-functional use of LUTs reduces the total number of separate tables needed, thereby reducing device size while maintaining processing efficiency across various signal slicing operations.
Data Source
AI summary
Disclosed are structures and methods for slicing a broadband signal into multiple, narrower bandwidth sub-bands through the use of a look-up table (LUT). An input broadband signal is first loaded by a pre-defined LUT. The LUT is designed with multiple parallel outputs, wherein each output is one individual sub-band.