Low Noise Amplifier (LNA) – K-Band 18.2-21.2 GHz and Ka-Band 25.5-27 GHz
Callisto has developed a next generation low noise amplifier system for satellite ground stations. The devices provide the best level of performance across noise factor/noise temperature, gain stability and input return loss. The device could be adapted to drones and autonomous vehicles for instance.
The LNA is based on Callisto’s own MMIC LNA chip design.
The MMIC is based on leading foundry processes for InP HEMT technology, to deliver optimised Noise, Gain and Input/Output Return Loss performances.
The noise factor is 1.5 dB typ. (or 120K) at 23°C for the 18.2 – 21.2 GHz (K-Band) version and the noise factor is 1.7 dB typ. (or 140K) at 23°C for the 25.5 - 27 GHz (Ka-Band) version. The product is designed with a waveguide input and a coax output. The housing can be modified based on customer’s needs for applications such as aeronautics, marine and vehicles.
Cryogenically cooling is available on option as well as redundancy control systems 1:1 or 1:2 which is designed to offer continuous operation without disruption of the signal reception. An automatic switching in case of LNA failure is also available, it consists of a waveguide switch assembly and rack-mounted indoor local control unit.
In addition to manufacturing hardware and software, Callisto also provides consultancy, engineering services, equipment design and system integration in the field of satellite communications.
Innovations & Advantages
Callisto’s Low Noise Amplifier is one of the most compact and lightest system on the market. It allows strong performances across a number of critical parameters such as noise factor/noise temperature, gain stability and input return loss.
The LNA’s specifications are presented Table 1.
Current and Potential Domains of Application
The technology is suited for the following main applications:
- Earth Observation
- Telemetry, Tracking & Control (TT&C)
The device can be used in other applicatons such as aeronautics, marine and terestrial vehicles. It could be adapted to drones and autonomous vehicles for instance.