Synchronization Code Word Detection via Segmentation
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Solution Overview
Problem
Existing techniques for detecting synchronization code words in digital signals are inefficient due to the need for large buffers and resulting delays, leading to increased cost and complexity.
Innovation Solution
A method involving segmentation-based detection procedures using correlation scores to identify the synchronization code word by partitioning signal frames into segments, recursively refining the search to locate the synchronization code word within smaller portions of the best-fit segment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large buffer is used to store received signal bits for detection, then detection accuracy can be maintained, but detection delay increases and system complexity increases
Solution Approach 1:
The patent divides the received signal into multiple frames, with each frame containing a portion of the synchronization code word. Instead of buffering entire frames, the system processes one bit from each frame sequentially across multiple detection attempts, dramatically reducing buffer requirements while maintaining detection accuracy through statistical correlation across many frames.
Solution Approach 2:
The system performs preliminary organization of received bits into frame-specific buffers before detection. Bits from the same frame are grouped together in advance, allowing the correlation detector to efficiently process synchronized data without requiring large buffers to hold all possible detection candidates simultaneously.
2Measurement precision
If a large buffer is used to store received signal bits for detection, then detection accuracy can be maintained, but device complexity and cost increase
Solution Approach 1:
The patent segments both the synchronization code word and the received signal into manageable frame portions. Each frame contributes one bit to the complete code word, allowing detection to proceed incrementally. This segmentation eliminates the need for large buffers and complex simultaneous processing of entire frames, reducing both memory requirements and computational complexity.
Solution Approach 2:
The system performs multiple detection attempts, each using only a partial set of frames (one bit per frame). By repeating the detection process with incremental frame sets and using correlation to identify the correct synchronization point, the system achieves accurate detection without requiring all frames to be buffered simultaneously, thus reducing complexity.
3Productivity
If sequential bit processing is used to reduce buffer size, then detection speed improves, but detection complexity increases
Solution Approach 1:
The system uses correlation scoring as feedback to guide the detection process. Each detection attempt produces a correlation score that indicates how well the current frame sequence matches the expected synchronization code word. This feedback allows the system to identify the correct synchronization point efficiently without requiring complex algorithms, as the correlation metric naturally highlights the correct alignment.
Solution Approach 2:
The patent replaces complex mechanical buffer management and sequential processing logic with a statistical correlation-based detection mechanism. Instead of using complex control logic to manage sequential bit processing, the system uses mathematical correlation to automatically identify synchronization, substituting mechanical complexity with mathematical simplicity.
Data Source
AI summary
Systems and methods for detecting a synchronization code word embedded in a plurality of frames of a signal are described. In one example embodiment, the synchronization code word contains “s” bits, embedded one bit per frame in “s” frames of an input signal. The method of detecting this synchronization code word includes: initiating a first segmentation procedure wherein “n” segments are defined in each signal frame of the input signal. A first correlation threshold value, which is based on the synchronization code word, is used to identify in the “n” segments, a first segment having the highest likelihood of containing at least a portion of the synchronization code word. The first segment is used to initiate a recursive detection procedure incorporating one or more additional segmentation procedures and one or more additional correlation threshold values, to detect the synchronization code word in a sub-divided portion of the first segment.