Anritsu Vision Spectrum Monitoring Application Software

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The Anritsu Vision Spectrum Monitoring Application Software simplifies locating interfering signals that adversely affect commercial and private wireless network performance. Compatible with the Anritsu range of Remote Spectrum Monitors, the software allows cellular and satellite operators, government regulators and broadcast professionals to quickly scan and view spectrum activity on multiple frequency channels and spectrum monitors deployed in the field.

The software has a high-speed port scanner which enables quick scanning of multiple RF inputs and frequency channels measured by compatible spectrum monitoring solutions. A multi-trace viewer in the scanner allows for simultaneous monitoring of large numbers of traces in a single display for more efficient spectrum monitoring.

The high-speed port scanner is particularly advantageous when used in applications where measurement speed is critical. Satellite operators can use the MS27103A multi-port monitor to view signals from numerous satellite feeds on one monitor. Operators can also simultaneously view the traces from each antenna as they are scanned.

A save-on-event feature has also been added to allow users to continuously save all measurements or limit line violations into spreadsheet format (CSV) for easier reporting and archiving. GPS location features allow users to save GPS date, time and position coordinates as measurements are scanned, which is particularly beneficial when making measurements in mobile environments. Data can be saved immediately when any of the appropriate spectrum monitors connects to a PC or laptop. A Spectrogram view can display measurements as functions of frequency and time to make it simple for users to detect unusual signals that may be present.

The product enables operators to protect their sizeable investment in frequency spectrum. The product family allows for spectrum to be monitored on a continual basis so problem signals can be identified as they occur in real time. Patterns of unwanted signal activity can also be examined, providing an efficient way to characterise and locate the interference sources.