Adaptive Sampling Circuit for Intermittent Transmission Signals
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Solution Overview
Problem
In communication devices using digital pre-distortion schemes, high-rate sampling of transmission signals is required to detect envelope changes, leading to short sampling regions and potential sampling of signal-absent regions, which can result in incomplete signal processing, especially in intermittent transmission patterns like OFDMA, where regions without signals may be sampled, causing inefficiencies and delays in radio communication systems.
Innovation Solution
A sampling circuit with a determination unit and a sampling control unit that adjusts sampling acquisition intervals based on the success or failure of the sampling process, ensuring that regions with the transmission signal are sampled optimally, even in intermittent patterns, by setting up different intervals for successful and unsuccessful sampling processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-rate sampling is performed to detect envelope changes, then measurement precision is improved, but sampling region length becomes very short
Solution Approach 1:
The sampling interval is made dynamic rather than fixed. The determination unit adjusts the sampling acquisition interval based on whether the sampling process successfully captured signal data or sampled signal-absent regions. This dynamic adjustment allows the system to maintain high measurement precision when signals are present while extending the effective sampling region when signals are absent, thereby resolving the contradiction between envelope detection precision and sampling region length.
2Device complexity
If fixed sampling intervals are used in intermittent transmission patterns, then device complexity is reduced, but productivity decreases due to sampling signal-absent regions
Solution Approach 1:
A feedback mechanism is introduced where the determination unit evaluates whether each sampling operation successfully captured signal data. Based on this feedback, the sampling control unit adjusts future sampling intervals. This feedback-based adaptation improves productivity by avoiding repeated sampling of signal-absent regions while maintaining relatively simple device architecture, thus resolving the contradiction between device complexity and signal processing efficiency.
3Area of stationary object
If sampling continues during signal-absent regions, then sampling coverage is improved, but loss of time increases due to incomplete signal processing
Solution Approach 1:
Instead of continuously sampling at fixed intervals regardless of signal presence, the system performs partial sampling by selectively adjusting sampling intervals based on actual signal conditions. The determination unit identifies when sampling occurs in signal-absent regions, and the sampling control unit extends the interval for subsequent sampling operations. This partial action approach maintains adequate sampling coverage during signal-present regions while reducing wasted sampling operations during signal-absent regions, thereby decreasing signal processing time loss.
Data Source
AI summary
A sampling circuit samples a transmission signal containing a particular transmission signal transmitted in a regular and intermittent transmission pattern. The sampling circuit includes a sampling processing unit that performs a sampling process that samples the transmission signal; a determination unit that determines whether the sampling process has been successfully or unsuccessfully performed; and a sampling control unit that sets up sampling acquisition intervals for the sampling processing unit in which the intervals differ depending on whether the sampling process is successfully or unsuccessfully, the sampling processing unit performing the sampling process based on the sampling acquisition interval that has been set up by the sampling control unit.