Multiple Signal Detection and Measurement Using a Configurable Wideband Digital Receiver

George, Kiran; Chen, Chien‐In Henry

doi:10.1109/imtc.2007.379287

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…Additionally, a PCA neural network (PCANet) is made to deduce hidden information from the EEG signals' frequency matrix. A support vector machine (SVM) is then trained to recognize epileptic seizures using these deep features as inputs [15][16]. Two reliable databases, namely Database A form Bonn University and Database B from Children's Hospital in Boston, are used in the experiments.…”

Section: Literature Surveymentioning

confidence: 99%

Revolutionizing UWB Image Reception: Advanced Signal Detection with Smart FFT for Unprecedented Resolution and Dynamic Range

Daram

2024

Preprint

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Section: Literature Surveymentioning

confidence: 99%

Revolutionizing UWB Image Reception: Advanced Signal Detection with Smart FFT for Unprecedented Resolution and Dynamic Range

Daram

2024

Preprint

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“…It uses an extension of the short time Fourier transform (STFT), consisting of a set of smoothed spectrograms obtained by non-coherent integration of the representation generated by the STFT. A configurable receiver was proposed in [12], which employs a hardware configurable scheme to detect multiple signals before next set of buffered data arrives for processing. However, these techniques are computationally intensive and hence its real-time implementation on single-processor systems is quite challenging.…”

Section: Digital Receiver On Single Processor Platformmentioning

confidence: 99%

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

George

Chen

2011

2011 IEEE International Instrumentation and Measurement Technology Conference

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Design and implementation of a modern radar receiver that is capable of rapidly searching a large frequency range with maximum sensitivity in real time presents a challenge. Such a receiver not only has stringent operational requirements like high instantaneous dynamic range (IDR), multiple signal detection capability, wider bandwidth and also high frequency resolution. Currently, operating speeds of digital processors are not on par with state-of-the-art ADCs. To overcome this impediment, researchers are exploring methods of offloading the computational intensive tasks to specialized hardware accelerators. A 3 giga-sample-per-second (GSPS) wideband digital receiver system implemented on a unique hybrid computing platform, which is composed of two Tesla C2050 GPUs and a Xilinx Virtex-5 FPGA, is presented. Drastically improving its performance over its predecessors, the proposed receiver system detects five simultaneous signals in 1.25 GHz bandwidth (125 -1375 MHz) with a maximum IDR of 42.5 dB and a frequency resolution of 0.5 MHz. The proposed receiver architecture performs a high-resolution spectral estimation and employs a hardware efficient platform for detecting multiple signals before the next set of buffered data arrives for processing.

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High two-signal dynamic range and accurate frequency measurement for close frequency separation wideband digital receiver using adaptive gain control and adaptive thresholding

Feiran

Chen

2020

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Multiple Signal Detection and Measurement Using a Configurable Wideband Digital Receiver

Cited by 12 publications

References 9 publications

Revolutionizing UWB Image Reception: Advanced Signal Detection with Smart FFT for Unprecedented Resolution and Dynamic Range

Revolutionizing UWB Image Reception: Advanced Signal Detection with Smart FFT for Unprecedented Resolution and Dynamic Range

Design and performance evaluation of a digital wideband receiver on a hybrid computing platform

High two-signal dynamic range and accurate frequency measurement for close frequency separation wideband digital receiver using adaptive gain control and adaptive thresholding

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