Abstract:
A method for operating a frequency modulated continuous wave (FMCW) radar system is provided that includes generating digital intermediate frequency (IF) signals from radio frequency signals received by a small receive antenna array in the FMCW radar system and processing the digital IF signals to determine whether or not a gesture was performed.
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:
An automobile has a system for navigating using a vehicle speed sensor reading rotation data from a wheel and a gyroscopic sensor. For each of a plurality of error parameter values, a distance traveled for each of a plurality of directions of travel. The system also includes selecting the error parameter value that maximizes the distance traveled in one or more of the directions of travel, applying the selected error parameter value to data from the gyroscopic sensor, and navigating using dead reckoning based on data from the vehicle speed sensor and data from the gyroscopic sensor with the applied error parameter value.
Abstract:
A Global Navigation Satellite System (GNSS) receiver determines a measurement error covariance from a reference position and a set of measured pseudoranges from a set of GNSS satellites. The position and velocity solution is determined from the measurement error covariance and the set of measured pseudoranges. The measurement error covariance is determined as function of the difference between a reference pseudorange and measured pseudorange. The reference pseudorange is computed from the reference position to a satellite. The measurement error covariance is determined as function of the difference only if the measured pseudorange is greater than the reference pseudorange. The GNSS receiver also determines measurement error covariance as function of one or more of correlation peak shape, difference, the correlation peak shape, a received signal to noise ratio and a tracking loop error.
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.