Wireless Receiver Joint Signal Detection Decoding
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Solution Overview
Problem
Conventional wireless network receivers process signal blocks individually, leading to suboptimal block error rates (BLER) when retrieving information from multipart, encoded, scrambled, and modulated signals.
Innovation Solution
Implementing a method for jointly detecting and decoding signals using the maximum likelihood principle, where transmission matrices are generated to calculate differences between noise-altered and noiseless signals, outputting the value corresponding to the smallest difference as the signal part, thereby enhancing decoding accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal blocks are processed individually using conventional detection methods, then the receiver structure remains simple and easy to implement, but the block error rate becomes suboptimal and decoding accuracy deteriorates
Solution Approach 1:
The patent merges the detection of multiple signal blocks (HARQ-ACK and CQI) into a single joint detection process. Instead of processing HARQ-ACK and CQI separately in different time slots as in conventional receivers, the invention combines them into one unified detection operation that processes all blocks simultaneously, thereby improving decoding accuracy through better utilization of signal energy and correlation information.
2Reliability
If joint detection and decoding is implemented using maximum likelihood principle, then block error rate improves and decoding accuracy increases, but computational complexity and processing requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the joint detection process into distinct functional modules: a correlation unit that computes correlations between received signals and expected signal patterns, a decision unit that applies maximum likelihood criteria to determine detected values, and separate decoding paths for HARQ-ACK and CQI. This modular segmentation reduces computational complexity by organizing operations efficiently while maintaining the reliability benefits of joint detection.
3Productivity
If individual block processing is used, then processing speed remains fast and simple, but information retrieval efficiency deteriorates and error rates increase
Solution Approach 1:
The patent incorporates feedback mechanisms where the joint detection results provide more accurate decoded information about channel quality (CQI) and acknowledgment status (HARQ-ACK). This improved accuracy reduces the need for retransmissions due to decoding errors, thereby improving overall information retrieval efficiency and reducing the time loss associated with repeated transmissions.
Data Source
AI summary
Method and receiver jointly detect and decode a part of an encoded, spread and modulated signal received on a channel in a wireless communication network and corrupted by channel multipath. Differences between the received signal and noiseless theoretical signals corresponding to each of the possible values of the part are calculated using hypothetical transmission matrices. The smallest difference corresponds to the actual value of the part.