Underwater Region Mapping With Synthetic-Array Correlation
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Solution Overview
Problem
Existing methods for mapping the ocean floor face challenges in achieving high mapping resolution while keeping operational costs low, particularly due to the increasing difficulty of acoustic imaging at greater depths and the high costs associated with using surface vessels or subsea vehicles.
Innovation Solution
A method involving a signal transmitter and receiver moving relative to a target region, transmitting a continuous probing signal with a predefined bandwidth, and correlating response signals to generate a map of correlation strength values, utilizing temporal information to create a synthetic array that suppresses unwanted clutter, allowing for low-cost hardware and high-resolution mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pulse-based mapping systems are used, then mapping capability is achieved, but mapping resolution deteriorates at greater depths due to increasing roundtrip time
Solution Approach 1:
The patent employs periodic transmission of acoustic signals with known temporal patterns (such as chirp signals or coded sequences) instead of simple pulses. This periodic action allows correlation processing to distinguish true reflections from noise and clutter, maintaining high resolution at greater depths by exploiting the temporal structure of the periodic signals across multiple cycles.
Solution Approach 2:
The system uses continuous wave (CW) or frequency modulated multi-beam acoustic arrays that transmit acoustic energy continuously rather than in discrete pulses. This continuity of useful action enables sustained signal presence at depth, improving signal-to-noise ratio and maintaining mapping resolution where pulse-based systems would fail due to excessive roundtrip times.
2Measurement precision
If continuous wave or frequency modulated multi-beam acoustic arrays are used, then mapping capability at greater depths is improved, but operational costs increase and imaging resolution remains relatively low
Solution Approach 1:
The patent replaces complex mechanical multi-beam acoustic arrays with a simpler single-beam or limited-beam system that achieves high resolution through signal processing (correlation methods) rather than through complex physical array mechanics. This substitution of mechanical complexity with computational processing reduces device complexity while maintaining or improving imaging resolution.
Solution Approach 2:
The system achieves high resolution by changing signal parameters (frequency modulation, coded sequences, chirp signals) and processing these parameters through correlation algorithms, rather than relying on complex physical array configurations. This parameter-based approach simplifies the physical system while achieving superior imaging resolution through intelligent signal design and processing.
3Measurement precision
If subsea vehicles are used to bring equipment close to the seabed, then mapping resolution is improved, but operational costs increase due to required presence of operators and support vessels
Solution Approach 1:
The system enables self-service operation where the acoustic mapping equipment can autonomously perform high-resolution mapping without requiring operators on support vessels or complex coordination teams. The correlation-based processing and automated signal transmission/reception allow the system to serve itself, eliminating the need for expensive human-operated subsea vehicle missions while achieving high mapping resolution.
4Measurement precision
If traditional acoustic mapping methods are used, then mapping capability is achieved, but operational costs are high
Solution Approach 1:
The patent replaces expensive, operationally complex traditional acoustic mapping systems with a simplified system that uses correlation processing of coded acoustic signals. This substitution reduces operational complexity by eliminating the need for complex vessel operations, multiple beams, or subsea deployment, while maintaining mapping capability through intelligent signal processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-resolution mapping of underwater surfaces with reduced operational costs by using a synthetic array that maximizes signal correlation and suppresses false positives, applicable in various fields such as acoustic mapping, seismic imaging, and medical imaging.
Implementation Method 1
transmitting, with the signal transmitter, a probing signal towards the target region
Implementation Method 2
a response signal composed of a plurality of signal components that result from scattering of the probing signal by respective ones of the portions of the target region
Implementation Method 3
continuously receiving, with the signal receiver, a response signal
Implementation Method 4
correlating each of the plurality of test signals with the response signal in the time domain, to generate a map of correlation strength values
Data Source
AI summary
A method and system for mapping a target region (60) of space with signal scatterers. The method involves moving a signal transmitter (26) and/or signal receiver (46) along a respective trajectory (34, 54) relative to the target region, and meanwhile transmitting a probing signal (62) towards the target region, this probing signal including a time sequence of noise (70) with a predefined bandwidth, receiving a response signal (76) composed of components resulting from scattering of the probing signal (62) by respective portions of the target region, and repeatedly determining positions (QT, QR) of the transmitter and/or receiver. The method further involves transforming the probing signal (62) into multiple test signals, each test signal being associated with a propagation path via a portion of the target region, and correlating each of the test signals with the response signal (76) in the time domain, to generate a map of correlation strength values associated with the portions of the target region.