Skysafe, Inc.

Samsung Electronics Co., Ltd.

Purdue Research Foundation

Chun Kin Au Yeung

Scott Torborg

Brandon Fang-Hsuan Lo

Linbo Li

Farrokh Etezadi

Jungwon Lee

Bruno Clerckx

David James Love

Grant Jordan

Kee-Bong Song

Chang Soon Park

Inyup Kang

Sungsoo Kim

Il Han Kim

In-yup Kang

Duck Dong Hwang

Tae Joon Kim

Seung Young Park

Hanju Kim

Brandon Lo

Jung-Won Lee

Han-Ju Kim

Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a drone includes a radio-frequency (RF) receiver. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a set of samples from the RF receiver for a time interval, obtain predetermined data of expected communication protocols used between the drone and a controller, and determine whether the RF signal corresponds to one of the expected communication protocols by comparing the samples of the RF signal to the predetermined data and decoding the RF signal. In further aspects the system extracts a unique identifier of the drone based at least partially on the decoded RF signal.

Systems and methods for detecting, monitoring, and mitigating the presence of unauthorized drones

Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a one or more drones includes a radio-frequency (RF) receiver configured to receive an RF signal transmitted between a drone and a controller. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a set of samples from the RF receiver for a time interval, the set of samples comprising samples of the first RF signal, obtain a parameter model of the first frequency hopping parameters, and fit the parameter model to the set of samples.

Systems and methods for detecting, monitoring, and mitigating the presence of a drone using frequency hopping

A system and method for detecting a scrambling seed in communication between a drone and a controller are described. The system comprises a radio-frequency (RF) receiver configured to receive an RF signal transmitted between the drone and a controller. The RF signal includes scrambled data that contain repetitions of unscrambled data based on known scramblers with an unknown scrambling seed. The system further comprises a memory device in communication with a hardware processor and having stored computer-executable instructions to cause the hardware processor to identify the smallest number of bits required in each segment of scrambled data for data combining by finding an invertible predetermined matrix. The hardware processor is configured to determine the unknown scrambling seed based on a function combining the predetermined matrix, transition matrices of scramblers, and segments of received scrambled data.

Systems and methods for detecting a scrambling seed in communication with an unmanned aircraft system

Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a drone includes a radio-frequency (RF) receiver configured to receive an RF signal transmitted between a drone and a controller. The RF signal includes a synchronization signal for synchronization of the RF signal. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a sequence of samples from the RF receiver, obtain a double differential of the received sequence of samples, calculate a running sum of a defined number of the double differential of the received sequence of samples, and detect the presence of the drone based on the running sum.

Systems and methods for detecting, monitoring, and mitigating the presence of a drone

A receiver of a modulated signal is presented. The receiver includes a synchronization detector configured to receive a signal indicative of the modulated signal that includes a synchronization header and a data payload, and to detect an end of the synchronization header. The synchronization detector is configured to generate a differential signal based on the signal, perform cross-correlation of the differential signal with a reference differential signal to generate a cross-correlation output, compare a first sample of the cross-correlation output at a sample index associated with a hypothesized start frame delimiter (SFD) peak index with a second sample of the cross-correlation output at a sample index associated with a hypothesized preamble peak index, and detect an end of the synchronization header in response to a comparison result in which a magnitude of the first sample is greater than a magnitude of the second sample of the cross-correlation output.

System and method of detecting end of synchronization header of modulated signals

According to an embodiment of the present disclosure, a receiver of modulated signals comprises a signal mixer, a synchronization detector, and a data demodulator. The signal mixer is configured to perform baseband down-conversion of a signal according to a mixer frequency, the signal including a synchronization header and a data payload. The synchronization detector is configured to: generate a differential signal based on the signal, perform cross-correlation of the differential signal with a reference differential signal to generate a cross-correlation output, and analyze the cross-correlation output to detect an end of the synchronization header. The data demodulator is configured to demodulate the data payload in response to detection of the end of the synchronization header.

System and method of performing initial timing synchronization of receivers of modulated signals

According to an embodiment of the present disclosure, a receiver of modulated signals comprises a signal sampling unit configured to sample a signal, a zero-crossing demodulator, and a timing offset tracking unit. The zero-crossing demodulator includes: a zero-crossing counter configured to determine a number of zero crossings for each pulse of the signal, and a symbol selector configured to decode a sequence of pulses as a symbol based on the number of zero crossings in the sequence of pulses. The timing offset tracking unit is configured to: calculate a metric based on an accumulation of the number of zero crossings and corresponding pulse values of the decoded symbol, compare the metric to a predetermined threshold value, and compensate a timing offset of the signal by causing the signal sampling unit to sample the signal at an earlier interval or a later interval in response to the comparison.

System and method of tracking and compensating for frequency and timing offsets of modulated signals

The present invention relates to a method and apparatus for interference alignment in a wireless communication system. A method in which a terminal aligns interferences in a wireless communication system, which includes a first base station governing a first cell and a second base station governing a second cell, comprises: a step in which the terminal measures a serving channel from the first base station which is a serving base station and an interference channel from the second base station; a step of transmitting null space information orthogonal to the interference channel to the first base station; a step of measuring channels from the first base station and the second base station to which an inference alignment plane generated based on the null space information is applied, and generating a receiving filter; and a step of transmitting, to the first base station, the interference alignment plane, the receiving filter, and effective channel measurement value based on the channel from the first base station.

Method and apparatus for interference alignment in a wireless communication system

A method of operation of a communication system includes: retaining an a-posteriori detector-data, a detector-extrinsic-information, an a-posteriori-decoder-data, a decoder-extrinsic-value, or a combination thereof calculated from a received signal; determining an a-priori-decoder-information or an a-priori detector-information from the a-posteriori detector-data, the detector-extrinsic-information, the a-posteriori-decoder-data, the decoder-extrinsic-value, or a combination thereof; and adjusting the a-posteriori detector-data, the detector-extrinsic-information, the a-posteriori-decoder-data, the decoder-extrinsic-value, or a combination thereof using the a-priori-decoder-information or the a-priori detector-information for communicating through a device.

Communication system with iterative detector and decoder and method of operation thereof

A method of operation of a communication system includes: utilizing an estimation module estimating a log-likelihood ratio for a transmission; and utilizing a slicing module, coupled to the estimation module, slicing a constellation by: reading the log-likelihood ratio from the estimation module, defining a threshold within the constellation, and adjusting the threshold based on the log-likelihood ratio for determining a symbol.

Receiver system and method of operation thereof

A multi-user data transmission/reception system includes at least one mobile station to receive a pilot signal, select a preferred mode, a preceding matrix index, a beamforming vector index, and a quantized capacity level using the pilot signal, and transmit the preferred mode, the precoding matrix index, the beamforming vector index, and the quantized capacity level; and a base station to transmit the pilot signal to the at least one mobile station, receive the preferred mode, the precoding matrix index, the beamforming vector index, and the quantized capacity level from the at least one mobile station, and determine an optimal mode, an optimal precoding matrix, and an optimal beamforming vector using a lookup table storing an expected capacity for each capacity quantization interval.

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San Diego, CA, United States of America

Chun Kin Au Yeung