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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

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In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Aliasing01:18

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
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Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
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Wideband Array Signal Processing with Real-Time Adaptive Interference Mitigation.

Adam Whipple1, Mark W Ruzindana2, Mitchell C Burnett1

  • 1Electrical & Computer Engineering, Brigham Young University, Provo, UT 84602, USA.

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|July 29, 2023
PubMed
Summary
This summary is machine-generated.

This study presents a novel hardware and software pipeline for real-time interference cancellation in phased array antennas, enabling robust communication in RF-rich environments.

Keywords:
digital signal processingphased array antennaradio frequency interference mitigationwideband beamforming

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Antenna Systems

Background:

  • Phased array antennas require advanced signal processing for effective beamforming and interference cancellation.
  • Radio frequency interference-rich environments pose significant challenges for communication systems.

Purpose of the Study:

  • To develop and implement a real-time interference mitigation algorithm for wideband array signal processing.
  • To create a scalable digital signal processing architecture for interference cancellation.

Main Methods:

  • A high-throughput array receiver with Field Programmable Gate Array (FPGA)-based frequency channelization and packetization was developed.
  • A real-time interference mitigation algorithm was implemented on Graphics Processing Units (GPUs).
  • A heterogeneous, distributed, and scalable digital signal processing (DSP) architecture was utilized.

Main Results:

  • The developed pipeline supports subchannelized wideband array signal processing with 150 MHz instantaneous bandwidth.
  • Real-time interference cancellation achieved a 30 dB interferer cancellation null depth.
  • Effective mitigation of a moving interference source was demonstrated.

Conclusions:

  • The implemented hardware and software pipeline enables robust communication in interference-rich environments.
  • The heterogeneous DSP architecture provides a scalable solution for advanced signal processing tasks.
  • This work advances the capabilities of phased array antennas in challenging RF conditions.