Cellular Diversity Receiver Multilayer Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional receivers face challenges in optimizing design for convolutional encoded data due to high computational complexity and limited transmitter power in mobile terminals, leading to suboptimal signal detection and decoding performance.
Innovation Solution
A cellular diversity receiver system that employs a multilayer decoding process combining signal energies from multiple paths using maximal ratio combining or equal gain combining, with iterative burst and frame processing to improve decoding accuracy and reduce bit errors, incorporating physical constraints and redundancy verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional signal detection algorithms (MLSE, Viterbi, MAP) are used for convolutional encoded data, then decoding capability is provided, but computational complexity increases significantly
Solution Approach 1:
The patent segments the decoding process into two distinct stages: a burst process that handles individual signal bursts with MLSE/Viterbi algorithms, and a frame process that processes assembled frames with constraint-based decoding. This segmentation allows each stage to use optimized algorithms appropriate for its specific task, reducing overall computational complexity while maintaining decoding reliability.
Solution Approach 2:
The patent performs preliminary signal energy combining and burst-level decoding before assembling complete frames for final decoding. By performing preliminary actions at the burst level (using MLSE on individual bursts with known training sequences), the system reduces the complexity of the final frame decoding process, as much of the signal processing is already completed in earlier stages.
2Reliability
If transmitter power is increased to improve signal energy, then reception quality improves, but mobile terminal size and battery limitations prevent power increase
Solution Approach 1:
The patent combines signal energies from multiple received bursts to form assembled frames for decoding. By merging multiple low-energy burst signals into a single frame, the system achieves effective signal energy accumulation without requiring increased transmitter power, thereby improving reception quality while respecting mobile terminal power constraints.
Solution Approach 2:
The patent uses known training sequences (copied reference signals) embedded in each burst to enable accurate channel estimation and signal reconstruction. These copied reference patterns allow the receiver to compensate for channel effects and recover the transmitted signal with high accuracy, improving reception quality without additional transmitter power.
3Measurement precision
If more signal processing iterations are performed to improve decoding accuracy, then bit error rate decreases, but processing time increases
Solution Approach 1:
The patent segments decoding into two iterative passes: burst process iterations followed by frame process iterations. Each pass uses results from the previous pass to refine decoding accuracy. This segmented iterative approach achieves high decoding precision (low bit error rate) while controlling processing time by distributing iterations across two structured phases rather than requiring numerous unstructured iterations.
Solution Approach 2:
The patent implements feedback between the burst process and frame process, where decoded results from one process inform and refine the other. The frame process uses decoded burst information to improve frame decoding, and vice versa. This feedback mechanism enables the system to achieve high decoding accuracy through iterative refinement without requiring excessive processing time, as each feedback cycle builds on previous results.
Data Source
AI summary
Aspects of a method and system for an improved cellular diversity receiver are described. Aspects of the system may include circuitry that enables generation of an initially decoded output bit sequence by a first frame process for a received bit sequence for a plurality of received multipath signals. The first frame process may utilize redundancy based decoding, which imposes at least one physical constraint during the decoding, which may be performed by a decoding algorithm.