Noise
Noise is any random, unpredictable, or unwanted variation that interferes with a desired signal, affecting detection, transmission, or measurement. In electroni...
Interference is unwanted energy that distorts or corrupts measurement signals, affecting accuracy and reliability in critical systems.
Interference in measurement systems refers to any unwanted electromagnetic, optical, or electrical energy that distorts or corrupts the intended measurement signal. It is a central concern in aviation, telecommunications, industrial automation, and critical infrastructure, where reliability and accuracy are essential. As the density of electronic equipment and the use of the electromagnetic spectrum increase, so does the risk of interference, making its understanding and mitigation a necessity for compliance, safety, and efficient operations.
Measurement systems are engineered to capture information with high accuracy. However, interference—whether from ambient electromagnetic fields, stray optical reflections, or other sources—can undermine data integrity, cause operational hazards, and result in regulatory non-compliance. International standards, such as those set by the International Civil Aviation Organization (ICAO), strictly prescribe allowable interference levels. Even subtle forms of interference can have major consequences, such as undetected sensor drift or false alarms in safety-critical environments.
Interference in measurement systems is any unwanted signal—electromagnetic, optical, or electrical—that enters a measurement pathway and distorts, masks, or corrupts the desired signal. It may be continuous or transient, intentional or unintentional, and can arise from environmental sources, equipment, or operational factors.
Interference covers a wide range of phenomena, each with specific sources, effects, and mitigation strategies.
| Type | Description | Example |
|---|---|---|
| Electromagnetic Interference (EMI) | Disruption from external electromagnetic fields. | Power line harmonics affecting sensor data. |
| Radio Frequency Interference (RFI) | Disruption in the radio frequency spectrum. | Mobile phones disrupting VHF avionics. |
| Crosstalk | Signal coupling between adjacent wires or channels. | Audio bleed between cockpit intercom channels. |
| Impulse Noise | Brief, high-amplitude transients. | Lightning causing radar errors. |
| Intermodulation | Nonlinear mixing generating spurious signals. | Multiple transmitters creating unexpected tones. |
| Co-channel Interference | Multiple transmitters sharing a frequency. | Overlapping ATC radio transmissions. |
| Adjacent Channel Interference | Leakage between nearby frequencies. | VOR and ILS channel overlap in navigation systems. |
| In-band Interference | Unwanted signal within the operating band. | Overlapping Wi-Fi signals. |
| Out-of-band Interference | Signals outside but near the operating band entering the system. | TV broadcast affecting aircraft communications. |
| Thermal Noise | Random noise from electron agitation. | Baseline noise in receivers. |
| Optical Interference | Unwanted light in optical sensors. | Sunlight entering a cockpit photodetector. |
Understanding these types is essential for troubleshooting, system design, and regulatory compliance in high-reliability environments.
Sources of interference can be diverse and complex:
Regulators like ICAO demand rigorous monitoring and management, especially around critical infrastructure.
Interference can cause both subtle and severe problems:
Notable Use Cases:
Strict standards (e.g., ICAO) enforce interference limits for safety and operational integrity.
Standardized procedures are critical for effective detection and compliance.
Any electromagnetic field or signal that disrupts electronic/electrical systems. Can be radiated or conducted.
Example: A switching power supply emits harmonics that couple into a nearby radio, causing audible noise.
EMI within the radio frequency spectrum (3 kHz–300 GHz). Affects wireless communications, radar, and navigation.
Example: Wi-Fi signals in the 2.4 GHz band interfere with Bluetooth devices, causing data loss.
Unwanted signal transfer between adjacent channels or wires, common in dense wiring or high-frequency systems.
Example: VHF radio signals leaking into cockpit intercom circuits, distracting pilots.
Short, high-energy disturbances from sources like lightning or switching.
Example: Arc welding in a hangar disrupts nearby radio receivers.
Mixing of signals in nonlinear components, generating new, unwanted frequencies.
Example: Two transmitters produce spurious signals that interfere with navigation.
Example: Overlapping air traffic control transmissions or VOR/ILS frequency overlap.
Example: Overlapping Wi-Fi access points (in-band) or local TV broadcasts leaking into comms (out-of-band).
Fundamental electronic noise from thermal agitation in conductors, present in all receivers.
Unwanted light entering optical sensors, degrading measurement accuracy.
Example: Sunlight causing false readings in cockpit photodetectors.
Interference is a pervasive challenge to measurement accuracy and system reliability. Understanding its sources, mechanisms, and impacts enables effective mitigation, ensuring compliance, safety, and operational excellence in critical sectors like aviation, telecommunications, and automation.
For more information on protecting your systems from interference, contact our experts or schedule a personalized demo.
References:
Last updated: 2024
Interference in measurement systems is any unwanted electromagnetic, optical, or electrical signal that distorts or corrupts the desired measurement signal. It can arise from natural or man-made sources and may cause errors, data corruption, or equipment malfunction, impacting system reliability and safety.
Key types of interference include Electromagnetic Interference (EMI), Radio Frequency Interference (RFI), crosstalk, impulse noise, intermodulation, co-channel and adjacent channel interference, in-band and out-of-band interference, thermal noise, and optical interference. Each type affects systems differently and requires tailored mitigation strategies.
Interference is detected using tools like spectrum analyzers, oscilloscopes, and field strength meters. Spectrum analyzers provide a frequency-domain view to identify unwanted signals, while directional antennas and mask monitoring help localize and characterize sources of interference for mitigation and compliance.
Mitigation involves shielding, filtering, proper cable management, equipment separation, and regulatory compliance. Regular monitoring, site surveys, and the use of certified equipment also reduce susceptibility to interference, ensuring measurement accuracy and operational safety.
Interference control is vital in aviation and telecommunications because even minor disturbances can lead to safety hazards, data loss, or communication breakdowns. Regulatory standards (e.g., ICAO, ITU) enforce strict limits to prevent disruption of critical services and maintain system integrity.
Protect your measurement and communication systems from harmful interference. Our solutions help you detect, analyze, and mitigate unwanted signals to ensure uncompromised accuracy and safety.
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