MIMO Antenna Array Calibration via Proximal Signal Aggregation

The patent receives multiple calibration signals from proximate wireless devices at known locations. By aggregating AOA measurements from multiple signals and multiple devices, the system converts the harmful multipath environment into a beneficial calibration opportunity. The aggregation process allows the system to identify and select the most accurate AOA measurements while filtering out multipath-induced errors, thereby improving calibration accuracy in environments where multipath effects are prevalent.

The patent performs calibration using a subset of received calibration signals from proximate wireless devices. By selectively processing calibration signals from multiple devices and aggregating measurements from multiple signals, the system achieves accurate calibration without requiring all possible signals. This partial action approach reduces computational complexity while maintaining high calibration accuracy.

The patent enables wireless MIMO devices to perform self-calibration by receiving calibration signals from other proximate wireless devices with known locations. Each device uses its own antenna array and processing circuitry to measure AOAs and compute calibration coefficients independently. This self-service approach eliminates the need for external calibration equipment, specialized facilities, or clear Line of Sight requirements, thereby reducing device complexity and enabling scalable deployment in real-world environments.

The patent allows proximate wireless devices to serve dual purposes: they function as both operational communication devices and as calibration signal sources. The same antenna arrays and transceivers used for normal wireless communication are also utilized for transmitting and receiving calibration signals. This multi-functionality eliminates the need for separate calibration equipment and infrastructure, reducing overall system complexity and cost while improving scalability.