Abstract:
A method of estimating position of an obstacle of a plurality of obstacles with a radar apparatus. An azimuth frequency, an elevation frequency and a range of the obstacle are estimated to generate an estimated azimuth frequency, an estimated elevation frequency and an estimated range of the obstacle. A metric is estimated from one or more of the estimated azimuth frequency, the estimated elevation frequency and the estimated range of the obstacle. The metric is compared to a threshold to detect an error in at least one of the estimated azimuth frequency and the estimated elevation frequency. On error detection, a sign of at least one of the estimated azimuth frequency and the estimated elevation frequency is inverted to generate a true estimated azimuth frequency and a true estimated elevation frequency respectively.
Abstract:
Embodiments of the disclosure provide a cross coupled position engine architecture for sensor integration in a Global Navigation Satellite System. In one embodiment, a data processing engine for processing inertial sensor data within a positioning system receiver is disclosed. The data processing engine includes a first input for receiving the sensor data, and a second input for receiving a positioning data. The data processing system also includes a memory and a processor. The processor of the data processing system is coupled to the memory and to the first and second input. The processor of the data processing system is configured to calculate a net acceleration profile data from the inertial sensor data and from the positioning data. The net acceleration profile data calculated by the processor of the data processing system is used for the Global Positioning System (GPS) receiver to subsequently calculate a position and a velocity data.