Sensor System Using Non-Orthogonal Wavelet Signals for Object Detection
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Solution Overview
Problem
Existing sensor systems struggle to accurately detect multiple objects within an optical transmission path without relying on time slots, as they are limited by the orthogonality of base signals, which restricts resolution and separation capabilities.
Innovation Solution
A sensor system utilizing non-orthogonal wavelet signals, where a processing unit forms a linear form of receiver output signals and wavelet signals to generate a control value matrix, and incorporates a non-linear filter to select and process control value signals, enabling higher resolution and object separation without time slots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If orthogonal base signals are used for object detection, then the system can detect objects in the transmission path, but the resolution and separation capability are restricted
Solution Approach 1:
The patent changes the fundamental parameter of signal orthogonality by employing non-orthogonal wavelet signals instead of traditional orthogonal base signals. This parameter change enables the system to achieve both high resolution and improved separation capability for multiple objects in the transmission path, resolving the technical contradiction between measurement precision and adaptability.
2Quantity of substance
If time slots are used to detect multiple objects, then object detection is possible, but the system becomes expensive
Solution Approach 1:
The patent implements continuous detection of multiple objects simultaneously without requiring time slot segmentation. The non-orthogonal wavelet signals enable all objects to be detected in parallel throughout the transmission path continuously, eliminating the need for expensive time-division multiplexing infrastructure and reducing system complexity while maintaining the capability to detect multiple objects.
Solution Approach 2:
The patent transitions from time-domain separation (time slots) to a different dimensional approach by using non-orthogonal wavelet signals in the frequency-time domain. This dimensional change allows simultaneous detection of multiple objects without requiring temporal separation, thereby reducing system cost and complexity while maintaining multi-object detection capability.
Data Source
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Figure 3a~3c
AI summary
A sensor system for detecting at least one object (O1, O2) in a transmission path (I) comprises at least one transmitter (H) and at least one receiver (D). The transmitter (H) is driven by a feed signal (S5) to send a transmit signal (S21) into the transmission path (I). After passing through and being influenced by an object (O1, O2), this transmit signal (S21) reaches at least one receiver (D) as a modified transmit signal (S21). The receiver (D) receives it as a modified receive signal (S22) and generates a receiver output signal (S0) with a modified receiver output signal component (S0e). A processing unit (LF) further processes an intermediate processing signal comprising the receiver output signal (S0), separates a modified receiver output signal component (S0e), and generates a control value matrix (YI) with control value signals (yii, j).A non-linear filter (NLF) converts a portion of these control signal components (yii,j) into NLF output signals (NFi,j). A control signal (yii,j) or a signal derived from it is a characteristic value for at least one of the receiver output signal components (S0e). A signal generation unit generates a base signal, which is further processed into a feed signal (S5) or at least one compensation feed signal (S3). A feedback transform unit performs either a transmitter feedback transform (SRT) from a portion of the NLF output signals (NFi,j), generating the feed signal (S5), and/or a compensation feedback transform (KRT), generating the compensation feed signal (S3). The compensation feed signal (S3) is then fed back into the sensor system (1), thus stabilizing the sensor system.