Receiver Signal Detection Using Repeated Parameter Tracking
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Solution Overview
Problem
Digital receivers face challenges in reliably detecting useful signals amidst noise and interference, leading to incorrect signal recognition and increased false alarm rates due to the uncertainty in parameter estimation during signal acquisition.
Innovation Solution
A method for digitally transmitting data involves repeatedly estimating relevant parameters such as frequency error and phase angle of the carrier signal, monitoring changes in these parameters, and using predefined criteria to detect a useful signal, which reduces false alarm rates by ensuring accurate signal recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the receiver uses traditional parameter estimation methods to detect useful signals, then the detection process can be completed, but the false alarm rate increases and detection reliability decreases due to uncertainty in parameter estimation
Solution Approach 1:
The patent implements feedback by repeatedly estimating parameters and monitoring changes in these parameters over time. The receiver controller compares current parameter estimates with previous estimates to detect consistent patterns that indicate a useful signal, rather than relying on a single estimation. This feedback mechanism reduces false alarms by requiring sustained parameter changes across multiple estimation cycles.
Solution Approach 2:
The patent applies preliminary action by performing repeated parameter estimations and monitoring changes before making a final detection decision. The receiver controller prepares by accumulating parameter estimate data over multiple cycles, establishing a baseline of expected changes, and only then declares detection of a useful signal. This preliminary data collection phase improves reliability by filtering out transient noise that would trigger false alarms in single-shot detection methods.
2Reliability
If the receiver stays in search mode for a particular time to detect the start of useful signal, then the detection opportunity is covered, but the response time increases and productivity decreases
Solution Approach 1:
The patent applies dynamics by implementing an adaptive detection approach where the receiver controller dynamically adjusts its detection strategy based on observed parameter changes. Rather than using a fixed search time window, the system continuously monitors parameter estimates and can declare detection earlier when consistent useful signal patterns are identified, or extend monitoring when uncertain. This dynamic approach maintains high detection accuracy while reducing average acquisition time compared to fixed search mode.
Solution Approach 2:
The patent uses periodic action by performing parameter estimations at regular intervals and monitoring changes across these periodic measurements. The receiver controller evaluates parameter changes over multiple periodic estimation cycles, identifying useful signals through consistent periodic patterns rather than single measurements. This periodic approach balances thorough detection with timely response by establishing rhythm in the detection process.
3Use of energy by moving object
If the receiver activates at regular intervals in polling mode to check for useful signals, then energy consumption is reduced, but detection response time increases and reliability decreases
Solution Approach 1:
The patent applies preliminary action in polling mode by performing rapid repeated parameter estimations during each activation interval. The receiver controller prepares comprehensive parameter data during brief activation periods, analyzing multiple parameter estimates and their changes before making detection decisions. This preliminary thorough analysis during each poll maximizes detection reliability within the energy-constrained periodic activation framework.
Solution Approach 2:
The patent maintains continuity of useful action by ensuring that during each polling activation, the parameter estimation and monitoring process continues without interruption until a detection decision is made. The receiver controller processes parameter changes continuously throughout each activation interval, rather than using discrete snapshot measurements, ensuring that no useful signal patterns are missed even though the receiver operates in periodic polling mode rather than continuous reception mode.
Data Source
AI summary
The present disclosure teaches methods for digitally transmitting data. An example method may include: receiving a modulated signal containing at least one useful signal or noise or interference signals; repeatedly estimating at least one parameter of the received signal relevant to the demodulation of the useful signal; monitoring changes in the repeatedly estimated parameters; and detecting a useful signal based at least in part on whether one or more changes in the repeatedly estimated parameters satisfy at least one particular, predefined condition.