Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: Described herein are systems and methods that that mitigate avalanche photodiode (APD) blinding and allow for improved accuracy in the detection of a multi-return light signal. A blinding spot may occur due to saturation of a primary APD. The systems and methods include the incorporation of a redundant APD and the utilization of time diversity and space diversity. Detection by the APDs is activated by a bias signal. The redundant APD receives a time delayed bias signal compared to the primary APD. Additionally, the redundant APD is positioned off the main focal plane in order to attenuate an output of the redundant APD. With attenuation, the redundant APD may not saturate and may have a successful detection during the blinding spot of the primary APD. Embodiments may include multiple primary APDs and multiple secondary APDs.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: Electrode configurations for reducing wobble error for a stylus translating on a surface over and between electrodes of a touch sensor panel are disclosed. In some examples, electrodes associated with a more linear signal profile are correlated with lower wobble error. In some examples, electrodes can have projections which can interleave with projections of adjacent electrodes. In some configurations, projections of adjacent electrodes can be interleaved in one-dimension; in other configurations, projections of adjacent electrodes can be interleaved in two-dimensions. In some configurations, the width and length of one or more projections in an electrode can be selected based on a desired signal profile for that electrode.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LiDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: Described herein are systems and methods that that mitigate avalanche photodiode (APD) blinding and allow for improved accuracy in the detection of a multi-return light signal. A blinding spot may occur due to saturation of a primary APD. The systems and methods include the incorporation of a redundant APD and the utilization of time diversity and space diversity. Detection by the APDs is activated by a bias signal. The redundant APD receives a time delayed bias signal compared to the primary APD. Additionally, the redundant APD is positioned off the main focal plane in order to attenuate an output of the redundant APD. With attenuation, the redundant APD may not saturate and may have a successful detection during the blinding spot of the primary APD. Embodiments may include multiple primary APDs and multiple secondary APDs.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LiDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: Described herein are systems and methods that that mitigate avalanche photodiode (APD) blinding and allow for improved accuracy in the detection of a multi-return light signal. A blinding spot may occur due to saturation of a primary APD. The systems and methods include the incorporation of a redundant APD and the utilization of time diversity and space diversity. Detection by the APDs is activated by a bias signal. The redundant APD receives a time delayed bias signal compared to the primary APD. Additionally, the redundant APD is positioned off the main focal plane in order to attenuate an output of the redundant APD. With attenuation, the redundant APD may not saturate and may have a successful detection during the blinding spot of the primary APD. Embodiments may include multiple primary APDs and multiple secondary APDs.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: A touch sensor panel is disclosed. The touch sensor panel can include a plurality of touch nodes, the plurality of touch nodes including a first set of touch nodes and a second set of touch nodes, different from the first set of the touch nodes. In some examples, sense circuitry can be configured to, during a first scan, sense a first combined touch signal of the first set of the touch nodes, and during a second scan, sense a second combined touch signal of the second set of the touch nodes. A touch processor can be configured to determine a touch image at the plurality of touch nodes based on the first and second combined touch signals.

Abstract: Described herein are systems and methods for improving detection of a return signal in a light ranging and detection system (LiDAR). The method includes the following steps at the LiDAR system: encoding and transmitting a sequence of pulses based on a user signature. Then, receiving a multi-return signal based on a reflection off objects of the sequences of pulses. The multi-return signal may be decoded based on the user signature, and then authenticated the via a correlation calculation. The user signature may determine an amplitude of a first pulse in the sequence of pulses, an amplitude of a second pulse of the sequence of pulses, and an interval between the first pulse and the second pulse. A bit representation of the user signature is orthogonal to a bit representation of another user signature of another LiDAR system. The user signature may be dynamically adjusted by the LiDAR system.

Abstract: Electrode configurations for reducing wobble error for a stylus translating on a surface over and between electrodes of a touch sensor panel are disclosed. In some examples, electrodes associated with a more linear signal profile are correlated with lower wobble error. In some examples, electrodes can have projections which can interleave with projections of adjacent electrodes. In some configurations, projections of adjacent electrodes can be interleaved in one-dimension; in other configurations, projections of adjacent electrodes can be interleaved in two-dimensions. In some configurations, the width and length of one or more projections in an electrode can be selected based on a desired signal profile for that electrode.

Abstract: Electrode configurations for reducing wobble error for a stylus translating on a surface over and between electrodes of a touch sensor panel are disclosed. In some examples, electrodes associated with a more linear signal profile are correlated with lower wobble error. In some examples, electrodes can have projections which can interleave with projections of adjacent electrodes. In some configurations, projections of adjacent electrodes can be interleaved in one-dimension; in other configurations, projections of adjacent electrodes can be interleaved in two-dimensions. In some configurations, the width and length of one or more projections in an electrode can be selected based on a desired signal profile for that electrode.

Abstract: Described herein are systems and methods that that mitigate avalanche photodiode (APD) blinding and allow for improved accuracy in the detection of a multi-return light signal. A blinding spot may occur due to saturation of a primary APD. The systems and methods include the incorporation of a redundant APD and the utilization of time diversity and space diversity. Detection by the APDs is activated by a bias signal. The redundant APD receives a time delayed bias signal compared to the primary APD. Additionally, the redundant APD is positioned off the main focal plane in order to attenuate an output of the redundant APD. With attenuation, the redundant APD may not saturate and may have a successful detection during the blinding spot of the primary APD. Embodiments may include multiple primary APDs and multiple secondary APDs.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: Described herein are systems and methods that determines a centroid of a waveform in a high noise environment. In one embodiment, the method may include determining a damping threshold and a noise-exclusion threshold for a waveform that define a three tier dynamic range for the waveform comprising a noise-exclusion region, damping region and a full region. The noise-exclusion threshold may be less than the damping threshold. Weights for each of the mass scalars may be determined based on the three tier dynamic range. The centroid may be determined based on the determined weights and their corresponding position vectors.

Abstract: System and methods are provided for touch detection. An example system includes: a measurement unit configured to acquire capacitance measurement data from a touch panel; a pre-processing unit configured to detect whether a touch event occurs on the touch panel based at least in part on the capacitance measurement data and generate an activation signal in response to the detection of the touch event; and a microcontroller unit configured to be activated in response to the activation signal to perform post-processing operations related to the touch event.

Abstract: System and methods are provided for tracking baseline signals for touch detection. The system includes: a comparison network configured to determine whether an input baseline signal is within a tracking range; a filter network configured to generate an output baseline signal for touch detection based at least in part on the input baseline signal according to one or more filter parameters; and a signal processing component configured to update the one or more filter parameters based at least in part on the determination of whether the input baseline signal is within the tracking range.

Abstract: Electrode configurations for reducing wobble error for a stylus translating on a surface over and between electrodes of a touch sensor panel are disclosed. In some examples, electrodes associated with a more linear signal profile are correlated with lower wobble error. In some examples, electrodes can have projections which can interleave with projections of adjacent electrodes. In some configurations, projections of adjacent electrodes can be interleaved in one-dimension; in other configurations, projections of adjacent electrodes can be interleaved in two-dimensions. In some configurations, the width and length of one or more projections in an electrode can be selected based on a desired signal profile for that electrode.

Abstract: System and methods are provided for touch detection. An example system includes: a measurement unit configured to acquire capacitance measurement data from a touch panel; a pre-processing unit configured to detect whether a touch event occurs on the touch panel based at least in part on the capacitance measurement data and generate an activation signal in response to the detection of the touch event; and a microcontroller unit configured to be activated in response to the activation signal to perform post-processing operations related to the touch event.