RF signal analysis products from D-TA leverage 10 GbE for SIGINT applications
ProductJuly 19, 2012
Alice Moss
Military Embedded Systems
Two new software radio solutions from engineers at D-TA Systems Inc., called RFvision-1 and RFvision-2, help enable sensor-independent processing for SIGnals INTelligence (SIGINT), RF spectrum monitoring; ELectronic INTelligence (ELINT); COMmunications INTelligence (COMINT), RF test and me...
Two new software radio solutions from engineers at D-TA Systems Inc., called RFvision-1 and RFvision-2, help enable sensor-independent processing for SIGnals INTelligence (SIGINT), RF spectrum monitoring; ELectronic INTelligence (ELINT); COMmunications INTelligence (COMINT), RF test and measurements; and arbitrary waveform generation applications.
The products’ real-time recording and playback of almost 2 GBps is possible due to D-TA’s 10 Gigabit sensor processing technology. Company engineers adapted the 10 Gigabit network technology for sensor processing. Additionally, the design has been implemented using FPGA technology. It is faster than most computer buses and is free of the digital noise associated with a computer bus. The technology also uses optical fibers to transfer data over long distances if required. The D-TA product’s throughput rate can be increased by adding more fibers; multiple fibers also can be synchronized. This processing architecture is also sensor independent, remaining the same no matter which type of sensor is being processed.
The RFvision-1 has frequency coverage from 20 MHz to 6 GHz with a bandwidth of 40 MHz. The RFvision-2 delivers frequency coverage from 500 MHz to 26.5 GHz with a bandwidth of 500 MHz. Each product offers real-time recording and playback of the selected signal. Either one can be controlled from a user’s PC that uses a D-TA-supplied GUI. The D-TA devices also can be quickly deployed with little customization. For 90 percent of the solutions, all the user has to do is write the application code – the server can be dropped right into the network – making sensor-to-network a reality.
