Parameter Estimation Processor for Baseband Signal Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Transceiver systems in wireless communication networks face challenges in managing increasing data volumes and evolving standards, requiring costly hardware upgrades and conflicting with physical and power constraints, necessitating a method to increase serial data link capacity and conserve resources.
Innovation Solution
A method involving a parameter estimation processor that adjusts compression ratios and applies compression parameters to data samples, including resampling, attenuation, and encoding, to achieve target compression ratios while ensuring compatibility with existing protocols like CPRI and OBSAI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is transmitted without compression over serial data links, then signal quality is maintained, but data link capacity is insufficient for increasing data volumes
Solution Approach 1:
The patent applies compression parameters (attenuation values, filter orders, encoding types) to transform data samples into compressed form, changing the data representation to reduce volume while maintaining essential signal characteristics for acceptable reconstruction quality
Solution Approach 2:
The patent extracts and removes redundancy from data samples through compression processes, separating essential signal information from redundant data, thereby reducing the quantity of data transmitted over the serial link while preserving core signal integrity
2Productivity
If compression is applied to data samples, then serial data link capacity increases, but signal degradation occurs
Solution Approach 1:
The patent applies partial compression by using adjustable compression parameters that achieve sufficient data reduction without excessive compression that would cause unacceptable signal degradation, finding the optimal balance between capacity improvement and quality maintenance
Solution Approach 2:
The system uses feedback mechanisms to monitor compression effects and adjust parameters accordingly, ensuring that signal degradation remains within acceptable thresholds while maximizing compression effectiveness for increased link capacity
3Productivity
If hardware upgrades are performed to increase data link capacity, then serial data link capacity improves, but system cost increases
Solution Approach 1:
Instead of upgrading hardware, the patent changes software-based compression parameters to achieve increased effective data link capacity, providing a cost-effective alternative that avoids expensive hardware modifications while still meeting growing data transmission requirements
Data Source
AI summary
A method and apparatus provides a parameter estimation processor configured to estimate parameters used to compress data for transmission over a serial data link. The parameter estimation processor includes a processor. The processor includes user programmable inputs. The user programmable inputs set an input data packet length, a target compression ratio, and a resampling factor and allow filter parameters to be set. Input data information is received from an input data buffer of a data sample compressor. The processor performs a function that: (a) adjusting a target compression ratio by a first compression ratio to determine a remaining compression ratio when the resampling operation is enabled; (b) estimating a set of compression parameters that are used to achieve the remaining compression ratio, the set of compression parameters includes an attenuation value, filter order, a type of encoding; and (c) sends the set of compression parameters to the data sample compressor. The data sample compressor applies the compression parameters to a packet of input data and outputs a plurality of compressed data words.