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Found 13 papers, 5 papers with code
Band-of-Interest-based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB
We focus on such scenarios and propose a CIR delay bin fusion method to merge several CIR bins to achieve a more accurate and reliable breathing rate estimate.
Single-anchor UWB Localization using Channel Impulse Response Distributions
Ultra-wideband (UWB) devices are widely used in indoor localization scenarios.
On the Implementation Complexity of Digital Full-Duplex Self-Interference Cancellation
In-band full-duplex systems promise to further increase the throughput of wireless systems, by simultaneously transmitting and receiving on the same frequency band.
A Maximum-Likelihood-based Multi-User LoRa Receiver Implemented in GNU Radio
LoRa is a popular low-power wide-area network (LPWAN) technology that uses spread-spectrum to achieve long-range connectivity and resilience to noise and interference.
Non-Linear Self-Interference Cancellation via Tensor Completion
Non-linear self-interference (SI) cancellation constitutes a fundamental problem in full-duplex communications, which is typically tackled using either polynomial models or neural networks.
On the Advantage of Coherent LoRa Detection in the Presence of Interference
We also compare the performance of LoRa with coherent and non-coherent receivers and we show that the coherent detection of LoRa is significantly more beneficial in interference scenarios than in the presence of only AWGN.
Lupulus: A Flexible Hardware Accelerator for Neural Networks
Neural networks have become indispensable for a wide range of applications, but they suffer from high computational- and memory-requirements, requiring optimizations from the algorithmic description of the network to the hardware implementation.
An Open-Source LoRa Physical Layer Prototype on GNU Radio
LoRa is the proprietary physical layer (PHY) of LoRaWAN, which is a popular Internet-of-Things (IoT) protocol enabling low-power devices to communicate over long ranges.
Signal Processing
Identification of Non-Linear RF Systems Using Backpropagation
In this work, we use deep unfolding to view cascaded non-linear RF systems as model-based neural networks.
Hardware Implementation of Neural Self-Interference Cancellation
In-band full-duplex systems can transmit and receive information simultaneously on the same frequency band.
Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios
For example, at a digital self-interference cancellation of 44. 51 dB, a complex-valued neural network requires 33. 7 % fewer floating-point operations and 26. 9 % fewer parameters compared to the polynomial model.
A Lyra2 FPGA Core for Lyra2REv2-Based Cryptocurrencies
Lyra2REv2 is a hashing algorithm that consists of a chain of individual hashing algorithms and it is used as a proof-of-work function in several cryptocurrencies that aim to be ASIC-resistant.
Cryptography and Security Hardware Architecture Signal Processing
Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks
Full-duplex systems require very strong self-interference cancellation in order to operate correctly and a significant part of the self-interference signal is due to non-linear effects created by various transceiver impairments.
