BLE Packet Detection Using Dual Probabilistic Decoders
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Solution Overview
Problem
Existing Bluetooth Low Energy (BLE) packet detectors face performance degradation due to setting thresholds to maximize detection, leading to high miss detection rates and limited sensitivity, especially in certification tests requiring rejection of packets with a one-bit Hamming distance from the correct access address code.
Innovation Solution
A probabilistic detector approach using a combination of two probabilistic decoders, HDO_LRT and NS_GLRT, to distinguish between the correct wireless identifier and nearly identical identifiers, rejecting noise sequences while maintaining sensitivity and passing certification requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the detection threshold is set to its maximal value to pass BQB tests, then the detector can reject packets with Hamming distance of one bit, but the miss detection rate increases and sensitivity degrades
Solution Approach 1:
The detector is divided into two independent probabilistic decoders: HDO_LRT for rejecting packets with Hamming distance of one bit, and NS_GLRT for rejecting noise sequences. Each decoder operates with its own optimized threshold, allowing simultaneous optimization of both reliability and sensitivity without compromise.
Solution Approach 2:
The patent changes the threshold parameter from a single maximal value to two different optimized values: one for HDO_LRT to pass BQB tests, and another for NS_GLRT to maintain sensitivity. This parameter differentiation resolves the contradiction between rejection reliability and detection sensitivity.
2Reliability
If non-coherent demodulation is used for AAC bits, then the detector can pass BQB tests with maximal threshold, but the packet error rate is limited by high miss detection rate
Solution Approach 1:
The detection function is segmented into two specialized probabilistic decoders that handle different aspects of packet validation. HDO_LRT handles BQB test requirements while NS_GLRT addresses sensitivity and packet error rate, allowing both objectives to be optimized simultaneously.
Solution Approach 2:
The patent replaces the traditional non-coherent demodulation approach with probabilistic detectors based on likelihood ratio tests. This substitution enables simultaneous optimization of both BQB test passage and packet error rate performance by using statistical probability models instead of fixed threshold mechanisms.
3Device complexity
If a single threshold is used for detection, then the detector structure is simple, but the performance is limited by the need to satisfy both BQB tests and sensitivity requirements
Solution Approach 1:
The detector structure is segmented into two independent probabilistic decoders with separate threshold optimization. This segmentation allows each component to be optimized for its specific function (BQB test passage and sensitivity) while maintaining overall system reliability without excessive complexity.
Solution Approach 2:
The probabilistic detector framework provides multi-functionality by simultaneously handling BQB test requirements, sensitivity optimization, and packet error rate reduction. The unified probabilistic approach with two decoders serves multiple performance objectives that would otherwise require separate detection systems.
Data Source
AI summary
Various examples of the present disclosure relate to a wireless communication device and to an apparatus, a device, a method and a computer program for a wireless communication device. The apparatus comprises interface circuitry for obtaining information on a signal received by the wireless communication device. The apparatus comprises processing circuitry configured to determine a presence of a wireless identifier of the wireless communication device within the signal using at least one probabilistic detector.