AWS-0103
8.5 - 10.55 GHz X-Band Dual Rx Single Tx Beamformer
Key Features
- 8.5 to 10.55 GHz operation
- Supports 4 radiating elements
- Dual beam Rx
- Single beam Tx
- High linearity
- 6-bit phase and gain control
- Fast Beam steering
Qorvo's AWS-0103 is a highly integrated silicon quad core IC intended for radar and 5G phased array applications. The device supports four radiating elements, single beam transmit and dual beam receive, and includes all requisite beam steering controls for 6 bit phase and gain control for beam steering and shaping.
When combined with the AWMF-0106 X-Band Front End IC, the chip set is a plug and play antenna solution that reduces SWaP-C for high power AESA radars. The BFIC features direct SPI programming of gain and phase and the ability to daisy chain SPI control between multiple ICs. It operates from a single positive power supply.
Typical Applications
- Commercial and Weather Radars
- 5G Communications
Product Categories
Application Categories
| Frequency Min(GHz) | 8.5 |
| Frequency Max(GHz) | 10.55 |
| Type | Transmit/Dual Receive |
| Polarization | Single |
| Target Application | Radar |
| Package Type | QFN |
| RoHS | Yes |
| Lead Free | Yes |
| ITAR Restricted | No |
| ECCN | EAR99 |
AWS-0103
The developer kit (AWS-0103-DL) includes all hardware and software required to interface to the AWS-0103. The kit enables full evaluation and RF testing easily defined user interfaces. The test board has been carefully designed to easily replicate the performance of the device and to provide the necessary channel to channel isolation. Calibration data is included to enable the removal of test board line losses. The SPI control is supported through a high-speed cable, interposer board, and USB interface module. Driver software is supplied to provide control from a PC. DC power is supplied to the test board through a separate cable assembly. A full set of measured data is included to provide reference performance for each Developer Kit. Evaluation of the AWS-0103 with the Developer Kit will significantly shorten the time to become familiar with the operation and performance of the product, thereby reducing system development time and cost.