This White Paper describes the implementation of the Rohde & Schwarz (R&S) FSVR’s realtime capabilities. It shows fields of application as well as the technical implementation. The measurement speed available in today's spectrum analyzers is the result of a long evolution. But one property has survived all evolution steps: even the R&S FSV does not detect signals between the end of one sweep and the start of the next one. This gap in data acquisition, the so called "blind time", has decreased with each new spectrum analyzer generation, but it is still present.
The keys to a real-time spectrum analyzer are: · Parallel sampling and FFT calculation: The data acquisition continues while the FFTs are performed. · Fast processing of FFT algorithms: The computation speed must be high enough to avoid that "stacks" of unprocessed data are being built up. Slow FFT computation will result in an overflow of the capture memory and a subsequent data loss (= a new blind time).[Continue reading →]