Patent classifications
H04B1/7176
IMPROVED ULTRA-WIDEBAND COMMUNICATION SYSTEM
In an ultra-wideband (UWB) communication system, methods are disclosed for transmitting packets in multiple portions, each having a different pulse repetition frequency (PRF). Methods are also disclosed for transmitting packets dis-continuously.
IMPROVED ULTRA-WIDEBAND COMMUNICATION SYSTEM
In an ultra-wideband (UWB) communication system, methods are disclosed for transmitting packets in multiple portions, each having a different pulse repetition frequency (PRF). Methods are also disclosed for transmitting packets dis-continuously.
Apparatus and method for managing ultra wideband (UWB) occupied bandwidths
Some embodiments include a system, method, and computer program product for managing the Ultra Wideband (UWB) systems, especially when the UWB system is collocated with another wireless system (e.g., WiFi) to transmit and/or receive UWB signals with an occupied bandwidth (OBW) that satisfies a UWB OBW standard (e.g., a UWB OBW>=500 MHz.) In some embodiments a TailBit signal (e.g., a periodic signal at a selected frequency) is added to a UWB packet to generate frequency components at the selected frequency that enables the power spectrum of the TailBit UWB signal to satisfy the UWB OBW standard. In some embodiments an altered code sequence is used to generate an altered spread signal, where the altered code sequence reduces or removes a frequency component peak near DC frequency of the power spectrum of an altered UWB signal, resulting in altered UWB OBW that satisfies the UWB OBW standard.
Apparatus and method for managing ultra wideband (UWB) occupied bandwidths
Some embodiments include a system, method, and computer program product for managing the Ultra Wideband (UWB) systems, especially when the UWB system is collocated with another wireless system (e.g., WiFi) to transmit and/or receive UWB signals with an occupied bandwidth (OBW) that satisfies a UWB OBW standard (e.g., a UWB OBW>=500 MHz.) In some embodiments a TailBit signal (e.g., a periodic signal at a selected frequency) is added to a UWB packet to generate frequency components at the selected frequency that enables the power spectrum of the TailBit UWB signal to satisfy the UWB OBW standard. In some embodiments an altered code sequence is used to generate an altered spread signal, where the altered code sequence reduces or removes a frequency component peak near DC frequency of the power spectrum of an altered UWB signal, resulting in altered UWB OBW that satisfies the UWB OBW standard.
Smart receiver with compressive sensing and machine learning
System and method for identifying an RF emitter include: channelizers for channelizing RF signals into several channels; a compressive sensing (CS) encoder for each channel to CS encode the channelized signal to produce an encoded channelized signal in each of the plurality of channels; a summer to sum the encoded channelized signals of all of the plurality of channels to produce an I/Q data; a channelized pulse detection circuit to detect pulses in each channel and produce encoded pulse snippets from the I/Q data; a CS decoder for each channel to CS decode the encoded pulse snippets; a first machine learning device to characterize the decoded pulse snippets and to produce pulse description words (PDWs); and a second machine learning device to associate the PDWs with one or more RF emitters and identify the one or more RF emitters.
Smart receiver with compressive sensing and machine learning
System and method for identifying an RF emitter include: channelizers for channelizing RF signals into several channels; a compressive sensing (CS) encoder for each channel to CS encode the channelized signal to produce an encoded channelized signal in each of the plurality of channels; a summer to sum the encoded channelized signals of all of the plurality of channels to produce an I/Q data; a channelized pulse detection circuit to detect pulses in each channel and produce encoded pulse snippets from the I/Q data; a CS decoder for each channel to CS decode the encoded pulse snippets; a first machine learning device to characterize the decoded pulse snippets and to produce pulse description words (PDWs); and a second machine learning device to associate the PDWs with one or more RF emitters and identify the one or more RF emitters.
ASYNCHRONOUS STREAM MOTE
Asynchronous stream generation and processing techniques are described that support implementation of an asynchronous stream mote in which one or more analog sensor signals are used to generate one or more asynchronous streams. On-device operations processing of the one or more asynchronous streams may be performed before transmission of the result(s) to other system components (e.g., peer motes or higher-level system components).
Pulse Based Wideband Signaling
A system for pulse based wideband signaling comprises a transmitter that performs physical layer encoding of both digital and analog data into a pulse repetition rate signal, and modulation of the pulse repetition rate signal into wideband radio frequency pulses, and transmission of the pulses as a wideband RF signal, a receiver that performs physical layer demodulation of the wideband RF signal into a pulse repetition rate signal, and decoding of the pulse repetition rate signal into digital and analog data, wherein the system provides improvement in controlling and balancing the variables of bandwidth, signal to noise ratio, range, and power consumption.
Pulse Based Wideband Signaling
A system for pulse based wideband signaling comprises a transmitter that performs physical layer encoding of both digital and analog data into a pulse repetition rate signal, and modulation of the pulse repetition rate signal into wideband radio frequency pulses, and transmission of the pulses as a wideband RF signal, a receiver that performs physical layer demodulation of the wideband RF signal into a pulse repetition rate signal, and decoding of the pulse repetition rate signal into digital and analog data, wherein the system provides improvement in controlling and balancing the variables of bandwidth, signal to noise ratio, range, and power consumption.
HIGH SPECTRAL EFFICIENCY DATA COMMUNICATIONS SYSTEM
A method of recovering information encoded by a modulated sinusoidal waveform having first, second, third and fourth data notches at respective phase angles, where a power of the modulated sinusoidal waveform is reduced relative to a power of an unmodulated sinusoidal waveform within selected ones of the first, second, third and fourth data notches so as to encode input digital data. The method includes receiving the modulated sinusoidal waveform and generating digital values representing the modulated sinusoidal waveform. A digital representation of the unmodulated sinusoidal waveform is subtracted from the digital values in order to generate a received digital data sequence, which includes digital data notch values representative of the amplitude of the modulated sinusoidal waveform within the first, second, third and fourth data notches. The input digital data is then estimated based upon the digital data notch values.