The performance of traditional lab-grade spectrum analyzers at a fraction of the cost, size, weight and power consumption.
Demo the thinkRF Real-Time Spectrum Analyzers over the Internet!
Request access to a thinkRF R5550 Analyzer remotely for 2 hours by submitting the form below. Evaluate different scenarios and applications using supported platforms like SCPI and VITA VRT or Python API and/or the thinkRF S1000 Real-Time Spectrum Analysis application.
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HIGH PERFORMANCE RF APPLICATIONS FOR WIRELESS SITUATIONAL AWARENESS
The thinkRF R6000 Real-Time Spectrum Analyzer, featuring GPS, is engineered for wireless situational awareness operations, including RF drive testing, coverage mapping, propagation analysis, direction finding, transmitter localization, and spectrum monitoring. Its GPS integration allows for precise field analysis of complex waveforms, offering insights into the location and time of measurements.
Compact, lightweight and versatile
The thinkRF RTSA stands out for its industry-leading RF performance
Fanless design
The thinkRF RTSA operates without a fan, enhancing its spectrum performance and reducing power consumption for superior portability in outdoor and mobile settings.
Superior spectral performance
It’s designed with reduced size, weight, and power requirements (SWaP), enhancing portability.
"thinkRF Real-Time Spectrum Analyzers (RTSA) are built on patented and innovative software-defined radio (SDR) technologies. They cover broad frequency range and wide bandwidth which allow system integrators, developers, engineers, program managers and CTOs more flexibility, greater coverage, increased functionality, and better ROI to conduct deeper analysis into complex and wideband signals of interest.
Coupled with real-time digitization and digital signal processing, purpose built networking capabilities, open APIs and development environments, and proven integrations with leading third-party software, thinkRF RTSA provides the best price-performance ratio on the market to monitor, detect, and analyze modern waveforms in challenging spectrum environments."