Balanced Weight Preamble Sequences for Timing Acquisition
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Solution Overview
Problem
Existing timing acquisition methods in wireless communication systems, particularly in low power duty-cycled systems like ultra-wideband systems, face challenges with high power consumption, complexity, and limited scalability for variable data rate systems, and lack efficient resource utilization and memory efficiency.
Innovation Solution
The proposed solution involves generating and using balanced weight preamble sequences that allow for efficient symbol timing detection and preamble boundary identification through energy accumulation, enabling the creation of multiple unique sequences for simultaneous communication sessions, while maintaining low power consumption and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing timing acquisition methods use known fixed or pseudo-random sequences with correlation maximization, then timing acquisition accuracy and interference immunity are improved, but power consumption increases and memory efficiency decreases
Solution Approach 1:
The patent changes the fundamental parameters of the preamble sequence by using balanced weight sequences with specific autocorrelation properties (zero autocorrelation for non-zero shifts) instead of traditional pseudo-random sequences. This parameter change enables the receiver to achieve accurate timing synchronization through simple energy detection without complex correlation operations, thereby reducing power consumption while maintaining or improving timing acquisition accuracy.
2Object-affected harmful factors
If existing timing acquisition methods use correlation maximization algorithms, then interference immunity is improved, but device complexity increases
Solution Approach 1:
The patent extracts and utilizes the essential property of the balanced weight preamble sequence - its perfect autocorrelation property - to simplify the acquisition algorithm. By designing the preamble with inherent correlation properties that yield zero for non-zero shifts, the complex correlation maximization algorithm is replaced with simple energy detection, extracting only the necessary function while eliminating unnecessary computational complexity.
Solution Approach 2:
The patent creates multiple copies of the balanced weight preamble sequence with different cyclic shifts for different devices. These copied sequences maintain the same autocorrelation properties, enabling each device to have a unique identifier while the receiver can efficiently detect and synchronize to any of them using the same simplified energy detection method, thus maintaining interference immunity without increasing complexity.
3Quantity of substance
If existing preamble sequences are used for multiple devices, then device support is improved, but sequence uniqueness and detection efficiency decrease
Solution Approach 1:
The patent introduces dynamic cyclic shifts to the balanced weight preamble sequence to create unique sequences for different devices. By applying different cyclic shifts (0, 1, 2, ..., N-1) to the base sequence, each device receives a unique dynamic variation while maintaining the same underlying autocorrelation properties. This enables support for multiple devices without compromising detection efficiency, as the receiver can efficiently detect any cyclically shifted version of the balanced weight sequence.
Data Source
AI summary
Various aspects of an approach for acquiring sequences such as balanced Hamming weight preamble sequences are described herein. The approach provides for the acquisition of preamble sequences base on energy accumulation. The approach includes creating a plurality of synchronization hypotheses, with each hypothesis being created based on energies sampled at a first location and a second location in a plurality of locations associated with a sequence of transmitted symbols; calculating a plurality of metrics based on the plurality of synchronization hypotheses, wherein each metric is associated with a hypothesis; selecting, as a candidate, one hypothesis from the plurality of synchronization hypotheses including a maximum associated metric. The approach may further include determining a boundary in the sequence of transmitted symbols based on a correlation property of the sequence of transmitted symbols. The second location includes a predetermined offset from the first location configured to provide enhanced interference immunity.