Chirp Spread Spectrum Data Alignment with Early Message Rejection
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Solution Overview
Problem
Chirp spread spectrum (CSS) systems face challenges in data alignment and message rejection due to noisy channels, leading to delayed data acquisition and high false detection rates, particularly in long-range wireless communications.
Innovation Solution
A method for data alignment in CSS that involves receiving training chirps, processing them using FFT, accumulating results to exceed a detection threshold, determining symbol alignment, and using a single opposite chirp with an identifier for data alignment, allowing for early message rejection if the identifier mismatches a preconfigured value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CSS message reception is used, then complete message decoding is achieved, but data acquisition delay increases and false detection rates rise in noisy channels
Solution Approach 1:
The patent applies preliminary action by performing identifier detection on the opposite chirp before complete message decoding. The receiver extracts and validates the identifier from the opposite chirp early in the reception process, allowing false detection to be identified and rejected before committing resources to full message decoding, thereby reducing false detection rates and acquisition delays in noisy channels
Solution Approach 2:
The patent segments the message reception process into distinct phases: identifier detection from the opposite chirp, identifier validation against expected values, and conditional complete message decoding. This segmentation allows the system to perform quick identifier-based filtering before full decoding, reducing computational overhead and false detections while maintaining reliable data acquisition
2Productivity
If identifier detection from single opposite chirp is implemented, then early message rejection is enabled, but processing complexity increases
Solution Approach 1:
The patent extracts the identifier information from the opposite chirp signal as a separate, independent detection task. By taking out the identifier detection function and performing it independently before full message processing, the system enables early message rejection without requiring complete message decoding, thus improving rejection speed while managing processing complexity through functional separation
Data Source
AI summary
A chirp spread spectrum (CSS) receiver may reject, based on a data alignment chirp that includes an identifier that is a mismatch to a preconfigured identifier, a message early and before fully receiving/decoding the message. A receiver may receive a sequence of training chirps for symbol alignment followed by a single opposite chirp for data alignment. Training chirps may be processed through a fast-Fourier transform (FFT) and the resulting values accumulated. The receiver may align, based on the received chirps of the preamble and the accumulated values exceeding the threshold, its symbol reception. Using this symbol alignment, the receiver may await a single opposite chirp after the sequence of training chirps. The single opposite chirp may indicate data alignment and comprise an encoded identifier. The receiver may reject the message and terminate further message processing based on the encoded identifier being a mismatch to a preconfigured identifier.