Synchronization Timing Detector Using Polar Coordinate Vector Addition
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Solution Overview
Problem
Conventional symbol synchronization detection in digital wireless communications requires a high sampling rate, leading to increased information processing and processing load due to the need for correlation value calculations across multiple sample points, which is inefficient.
Innovation Solution
A synchronization timing detector using n correlators that calculate correlation values between an oversampled received signal and a synchronization pattern, with sample timings shifted by m/n samples, and a calculation unit that generates correlation value vectors on polar coordinates to estimate symbol timing, reducing the number of necessary calculations by thinning out sample points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correlation values are calculated for each sample at a high sampling rate (16 times the symbol rate), then accurate symbol synchronization can be achieved, but the processing load and information processing requirements increase significantly
Solution Approach 1:
The patent divides the high sampling rate correlation calculation into multiple lower-rate correlators. Specifically, it uses multiple correlators operating at a reduced sampling rate (e.g., 1/4 or 1/8 of the original rate) to cover different time intervals, thereby segmenting the overall correlation task and reducing the processing burden on each individual correlator while maintaining comprehensive coverage.
Solution Approach 2:
The patent calculates correlation values only at selected sample points rather than all sample points. By strategically choosing which samples to process (partial action), it reduces the total number of calculations required while still achieving sufficient synchronization accuracy. This selective approach avoids the excessive processing that would result from evaluating every single sample.
2Measurement precision
If the sampling rate is increased to 16 times the symbol rate for correlation calculation, then better symbol timing detection is achieved, but the amount of information processing increases
Solution Approach 1:
The patent segments the high-rate sampling task into multiple lower-rate operations by using several correlators that each process a subset of the data. This segmentation reduces the quantity of information each correlator must handle, while the collective output of all correlators provides comprehensive timing detection coverage equivalent to the original high-rate approach.
Solution Approach 2:
The patent performs correlation calculations on only a partial set of sample points rather than all samples. By selecting specific samples for processing (partial action), it significantly reduces the total volume of information processing required while maintaining sufficient accuracy for symbol timing detection.
3Measurement precision
If correlation calculations are performed at every sample point, then precise symbol synchronization is achieved, but the processing efficiency decreases
Solution Approach 1:
The patent improves processing efficiency by segmenting the correlation calculation task across multiple correlators operating at lower sampling rates. Each correlator processes a portion of the data, which reduces the computational burden per unit time and allows parallel processing, thereby maintaining synchronization precision while improving overall processing throughput.
Solution Approach 2:
The patent enhances processing efficiency by performing correlation calculations only at selected sample points rather than every sample point. This partial processing approach reduces the total number of operations required, thereby improving processing efficiency while still achieving the necessary synchronization precision through strategic sample selection.
Data Source
AI summary
A synchronization timing detector includes n correlators, a calculation unit, and a symbol timing estimating unit. The n correlators calculate and output correlation values, between a received signal oversampled m times for one symbol period and a known synchronization pattern, by shifting sample timings by m/n samples each, where m is a natural number, and n is a natural number that satisfies 3≤n≤m and is a divisor of m. The calculation unit generates n correlation value vectors by arranging the correlation values output from the n correlators on polar coordinates at intervals of an angle of 2π(n/m) radians, and adds the n correlation value vectors to calculate an angle of a resultant vector of the correlation value vectors. The symbol timing estimating unit estimates a symbol timing of the received signal based on the angle of the resultant vector calculated by the calculation unit.