Abstract: A method for estimating a range of a moving target includes emitting, from a target, a first ultrasound signal T, wherein the first ultrasound signal T is generated based on a first differential Zadoff-Chu sequence x; receiving, at a receiver, a second ultrasound signal R, which corresponds to the first ultrasound signal T, wherein the second ultrasound signal R includes a second differential Zadoff-Chu sequence y; applying a maximum likelihood estimator to the first ultrasound signal T and the second ultrasound signal R to calculate an initial time of flight estimate taucorr; and calculating an initial range estimate dcorr of the target by multiplying the initial time of flight estimate taucorr with a speed of sound c. A differential Zadoff-Chu sequence is different from a Zadoff-Chu sequence.

Abstract: A method for estimating a range of a moving target, the method including emitting, from a target, a first ultrasound signal T, wherein the first ultrasound signal T is generated based on a first differential Zadoff-Chu sequence x; receiving, at a receiver, a second ultrasound signal R, which corresponds to the first ultrasound signal T, wherein the second ultrasound signal R includes a second differential Zadoff-Chu sequence y; correlating the first ultrasound signal T with the second ultrasound signal R to calculate an initial time of flight estimate taucorr; and calculating an initial range estimate dcorr by multiplying the initial time of flight estimate taucorr with a speed of sound c. A differential Zadoff-Chu sequence is different from a Zadoff-Chu sequence.

Abstract: A method for estimating a range of a moving target includes emitting, from a target, a first ultrasound signal T, wherein the first ultrasound signal T is generated based on a first differential Zadoff-Chu sequence x; receiving, at a receiver, a second ultrasound signal R, which corresponds to the first ultrasound signal T, wherein the second ultrasound signal R includes a second differential Zadoff-Chu sequence y; applying a maximum likelihood estimator to the first ultrasound signal T and the second ultrasound signal R to calculate an initial time of flight estimate taucorr; and calculating an initial range estimate dcorr of the target by multiplying the initial time of flight estimate taucorr with a speed of sound c. A differential Zadoff-Chu sequence is different from a Zadoff-Chu sequence.

Abstract: A method and system for gesture recognition using angle-of-arrival information. The method includes generating ultrasound waves with a transmitter; receiving the ultrasound waves at a receiver that includes two pairs of sensors that record the ultrasound waves; estimating with a processor, first and second angle-of-arrivals ?x(ti),?y(ti) for the ultrasound waves, where x and y indicate two perpendicular axes that form a plane in which the two pairs of sensors are distributed and the first and second angle-of-arrivals are defined relative to the plane; grouping N estimated first and second angle-of-arrivals ?x(ti),?y(ti) values to form a matrix g that corresponds to the predetermined path; comparing the matrix g with plural gesture templates from a gesture dictionary; identifying a gesture template from the plural gesture templates that corresponds to the predetermined path; and displaying the gesture template associated with the predetermined path.

Abstract: Various examples are provided for smart parking management, which can include navigation. In one example, a system includes a base station controller configured to: receive a wireless signal from a parking controller located at a parking space; determine a received signal strength indicator (RSSI) from the wireless signal; and identify a presence of a vehicle located at the parking space based at least in part on the RSSI. In another example, a method includes receiving a wireless signals from a base station controller and a parking controller located at a parking space; determining RSSIs from the wireless signals; and determining a location of the mobile computing device in a parking facility based at least in part on the RSSIs. In another example, a RSSI can be received, a parking occupancy can be determined using the RSSI, and an electronic record can be updated based on the parking occupancy.