Design, key functionalities, and performance requirements placed on modern aircraft navigation systems must adhere to the needs imposed by the progressively growing UAS/UAM and eVTOL markets. Especially for the terminal phases of flight (autonomous landing) and high-accuracy applications in urban and airport areas, performance levels required for safe operations can be even more strict than those for the today’s commercial aircraft.

In the paper, design, implementation, and real-time validation of Honeywell’s new Kalman filter-based Radar Altimeter Inertial Vertical Loop (RIVL) prototype is addressed. The system aims to provide high accuracy and integrity estimates of vertical parameters (Altitude above ground and vertical velocity). Inspired by the legacy BIVL technology, the prototype benefits from the dedicated Kalman filter and Honeywell’s proprietary method to address issues related to unknown terrain.

In Kalman filter, vertical acceleration estimate provided by AHRS (based on inertial sensor (IMU) measurements) and measurements from the radar altimeter aiding are fused. The part of the system is patent pending technology addressing issue of unknow terrain profile which provides required stability of the system output together with required accuracy in the final landing phase.

Once tested in simulation environment (proof-of-concept), the RIVL algorithm was ported to a rapid prototyping platform. Subsequently, data collection has been performed via both crane-test and flight-test onboard the CS-23 category aircraft (representative flight environment). Experimental results (in terms of accuracy) from both data collection phases will be included in the paper as well.

Our preliminary results indicate that the RIVL prototype provides reliable estimates of aircraft’s vertical height (above the terrain) and vertical velocity at required performance levels mandatory for UAS/UAM/eVTOL high-accuracy operations in urban and airport areas, including autonomous landing.