Remote Sensor Signal Processing for Target Detection
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Solution Overview
Problem
Existing remote sensor systems face issues with data flooding, false alarms due to uneventful detections, and limited battery life, which hinder effective surveillance and monitoring capabilities.
Innovation Solution
A system with a detection component and processing component that detects events, generates signals based on these events, and processes them according to situational parameters, using rules and algorithms to filter and communicate only relevant data, thereby reducing unnecessary data transmission and optimizing battery usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing remote sensor systems transmit all detected data to control stations, then complete surveillance data is available, but network data flooding occurs and communication bandwidth is wasted
Solution Approach 1:
The patent applies local quality by enabling each remote sensor to independently evaluate and filter its own detected events based on local criteria (e.g., event significance, situational context) before transmission. This decentralized filtering approach allows complete surveillance data to be maintained locally while only relevant portions are transmitted, reducing network bandwidth consumption without losing critical information.
Solution Approach 2:
The patent implements preliminary action by performing event filtering, classification, and significance assessment at the sensor level before data enters the communication network. This pre-processing eliminates unnecessary data transmissions in advance, preventing network flooding while ensuring that only vetted, relevant information consumes bandwidth.
2Reliability
If existing remote sensor systems transmit all detected events including uneventful detections, then comprehensive monitoring is achieved, but false alarms increase
Solution Approach 1:
The patent applies feedback by implementing closed-loop event evaluation where detected events are continuously assessed against evolving situational parameters and historical patterns. The system learns from past events and adjusts its filtering criteria dynamically, providing comprehensive monitoring while suppressing false alarms through adaptive feedback mechanisms that distinguish genuine threats from uneventful detections.
Solution Approach 2:
The patent implements dynamics by making the event filtering criteria adaptive and context-dependent rather than static. The system dynamically adjusts what constitutes a significant event based on current situational parameters, time of day, location, and threat levels, allowing comprehensive monitoring while reducing false alarms through flexible, situation-aware evaluation.
3Reliability
If remote sensors operate continuously to provide 24-hour surveillance, then constant monitoring capability is maintained, but battery life is depleted
Solution Approach 1:
The patent applies periodic action by implementing event-triggered transmission instead of continuous transmission. Sensors perform continuous local monitoring but transmit data only when significant events occur or at scheduled intervals when necessary. This approach maintains 24-hour surveillance capability while dramatically reducing battery power consumption by eliminating continuous communication operations.
Solution Approach 2:
The patent implements local quality by enabling each sensor to independently determine transmission timing based on local event significance assessment. Rather than continuous centralized communication, each node autonomously decides when transmission is necessary based on its local situational context, maintaining surveillance availability while optimizing energy usage.
4Measurement precision
If existing remote sensor systems are designed for specific applications, then application-specific performance is optimized, but system versatility is limited
Solution Approach 1:
The patent applies universality by designing a modular event filtering and data processing architecture that can be configured for different applications through software parameters rather than hardware changes. The same core sensor platform can adapt to multiple surveillance applications (perimeter security, asset monitoring, environmental sensing) by adjusting filtering criteria and event significance thresholds, maintaining application-specific precision while enabling system versatility.
Data Source
AI summary
Certain embodiments of the present invention provide a system for improved signal processing within a remote sensor system. The system includes a detection component and a processing component. The detection component is adapted to detect an event and generate a signal based at least in part on the event. The processing component adapted to process a signal based at least in part on a situation. Certain embodiments of the present invention provide a method for improved signal processing within a remote sensor system. The method includes determining a situation, detecting an event, generating a signal based at least in part on the event, and processing the signal based at least in part on the situational parameter.