Rohde & Schwarz has launched R&S TSMW, a universal mobile radio scanner that features two integrated receivers and includes WiMAX functionality. The two receivers allow faster operation than solutions that use mobile phones with test functionality. At the same time, the scanner delivers accurate results across the entire high measurement bandwidth because individual blocks can be filtered out by using adaptive preselection¡Xallowing network operators to perform drive tests for setting up and optimizing WiMAX networks. The R&S TSMW's platform concept makes it suitable for all technologies with bandwidths up to 20MHz. It can be expanded for current and future standards via software options.
Rohde & Schwarz's R&S TSMW has a frequency range of 30MHz to 6GHz and measurement bandwidth of 20MHz per receiver, and is suitable for both mobile and stationary applications and detects signals with a sensitivity that is considerably below the noise level (noise figure of 7dB at 3.5GHz). This makes it possible not only to check neighborhood information for a base station but also to locate interference signals from other base stations. The scanner features adaptive preselection to attain optimal values for dynamic range and measurement accuracy across the entire bandwidth.
In addition, the R&S TSMW can simultaneously scan and demodulate on different frequencies¡Xand on as many carriers as desired. Switchover times between the carriers are less than 5ms. The two integrated receivers enable measurement of several WiMAX signals in parallel, fully eliminating switchover times.
An integrated GPS allows the measurement results to be linked to the measurement sites and displayed on a map during mobile operation. A Gigabit/Ethernet interface enables users to call up measurement data either locally or remotely on the PC via an IP-based access. When equipped with the R&S TSMW-K1 option, the R&S TSMW also offers high flexibility when evaluating data: the instrument features an I/Q interface that outputs raw signals that users can evaluate with MATLAB software.