Hybrid Radar Sensor Network for Interference-Resilient Object Detection

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Solution Overview

Problem

Active radar systems face challenges in accurately detecting and localizing objects when the object emits interference signals, which can confuse or block the radar system, reducing accuracy or preventing detection altogether.

Innovation Solution

A sensor network comprising both active and passive radar components, along with a sensor fusion device, is used to detect and track objects. The active radar component transmits signals and detects interference, while the passive radar component uses ambient radio waves to locate the object. The sensor fusion device combines data from both systems to enhance detection accuracy and overcome interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If active radar system transmits radio signals to detect objects, then detection capability is provided, but accuracy is reduced when objects emit interference signals

Engineering Contradiction:
Improvedetection capabilityVSAvoidposition and direction accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent combines active radar and passive radar systems into a hybrid sensor network. The active radar component provides detection capability by transmitting radio signals, while the passive radar component uses ambient radio waves to provide independent detection. By merging both systems and fusing their data, the overall system maintains reliability even when active radar accuracy deteriorates due to interference from the detected object.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The sensor fusion device acts as an intermediary that receives data from both active and passive radar components. It processes and combines the information, using the passive radar data to compensate for inaccuracies in the active radar measurements caused by interference signals emitted by the object.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If passive radar system uses ambient radio signals for detection, then interference from object emissions is avoided, but measurement accuracy is lower than active radar

Engineering Contradiction:
Improveinterference from object emissionsVSAvoidposition and direction accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The system merges passive radar detection (which avoids object interference) with active radar detection. The sensor fusion device combines the accurate but interference-free passive radar measurements with the active radar data, using the active radar to provide additional precision when available and to detect interference signals.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system uses the active radar to detect interference signals emitted by the object and feeds this information back to the sensor fusion device. The fusion device then adjusts the processing of passive radar data accordingly, compensating for potential inaccuracies and maintaining high measurement precision despite the presence of interfering emissions.

Inventive Principle:
Principle #23Feedback

3Object-generated harmful factors

If object emits deception signals to interfere with active radar, then active radar detection is blocked, but passive radar can still detect the object

Engineering Contradiction:
Improvedeception signalsVSAvoidactive radar detection
Core Design Contradiction:
Object-generated harmful factorsVSReliability

Solution Approach 1:

The patent creates a redundant detection system by merging active and passive radar capabilities. When the object emits deception signals that block active radar detection, the passive radar component continues to operate using ambient radio waves, providing independent detection capability. The sensor fusion device integrates both data sources, ensuring system reliability even when one component is compromised by the object's interference signals.

Inventive Principle:
Principle #5Merging (Combining)

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

The sensor network achieves high accuracy in detecting and localizing objects even when interference signals are present, by effectively combining active and passive radar data to provide precise range and direction measurements.

Implementation Method 1

active radar systems acquire the object by transmitting radio signals and receiving reflections of these signals from the object

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 2

passive radar component, configured to receive ambient radio waves from stationary emitters and to detect the object based on reflections of the ambient radio waves

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 3

sensor fusion device, configured to receive data from the active radar component and data from the passive radar component, to perform a fusion of the data

Methodology Applied
Scientific EffectData fusion:

Data Source

PatentUS20250189660A1Sensor network for a detection of an object
Publication Date: 2025.06.12 HENSOLDT SENSORS GMBH
  • US20250189660A1 patent drawing
  • US20250189660A1 patent drawing

AI summary

A sensor network for detecting an object includes an active radar component that detects the object by transmitting a radio signal and receiving an echo of the radio signal, a passive radar component that receives ambient radio waves from stationary emitters detects the object based on a reflection of the ambient radio waves off the object, and a sensor fusion device. The active radar component detects an electromagnetic interference signal emitted by the object provides an estimation of a direction of arrival of the interference signal. The sensor fusion device receives data from the active radar component and data from the passive radar component to perform a fusion of the data from the active radar component and the data from the passive radar component, and, based thereon, detect the object.