RIGOL Technologies Introduces New RF Microwave Generators that Operate up to 20 GHz

RIGOL Technologies Introduces New RF Microwave Generators that Operate up to 20 GHz

RIGOL Technologies has introduced a new RF Microwave Generator that can generate signals up to 20 GHz with high fidelity. The DSG5000 Series of generators are available with 2, 4, 6, or 8 independent RF channels packaged in a single 2U full-width mainframe. The DSG5000 Series features impressive long-term phase stability between channels of +/- 1 degree and is designed for high-frequency signals in applications like radar and quantum research.

The DSG5000 Series RF Source can be controlled from a 3.5" touchscreen interface and can generate up to 20 GHz signals with amplitude, frequency, phase, and pulse modulation capabilities. Compared with competitive solutions, the DSG5000 demonstrates excellent long-term stability for the highest accuracy in long-term verification applications. Measured at 10 GHz with a temperature variation of < 1°C the phase stability can be measured at less than 1° of phase deviation over 72 hours.

"We are very proud to introduce the premium DSG5000 Series RF Microwave Generators with frequencies up to 20 GHz," stated Chris Armstrong, Director of Product Marketing for RIGOL USA. "This generator features a channel density 8 times greater than our DSG3000B series, making it a great solution for complex multi-channel and system-level applications."

RIGOL’s new DSG5000 RF Signal Source provides high signal purity with low phase noise measuring <-133 dBc/Hz @1 GHz, 10 kHz offset, a fast switching speed of 3 ms and an amplitude accuracy of +/- 1.1 dB (typical). This generator allows a user to connect to an external display or control remotely via a LAN connection. USB and LAN interfaces are both standard for fast and easy system control of all the RF channels from any VISA programming interface.

Click here to learn more about DSG5000 Series RF microwave generators from RIGOL.

Publisher: everything RF
Tags:-   RadarNoiseUSBPhase NoiseResearch