7 accepted papers
Accurate device-to-device distance estimation is crucial for Internet-of-things (IoT) applications. Traditional methods, such as RSSI-based ranging and Time-of-Flight narrowband systems, exhibit limitations. Bluetooth Low Energy (BLE)-based phase ranging, aka Channel Sounding is a preferred technolo…
Wi-Fi sensing utilizing Channel State Information (CSI) has emerged as a promising non-invasive technique for environmental perception, but current approaches are hindered by task-specific architectures, limited generalization, and data inefficiency, impeding its versatility across diverse applicati…
Wi-Fi Sensing is emerging as a transformative paradigm in the realm of smart environments, enabling the ubiquitous detection of human presence and the identification of activities within indoor spaces. This paper presents WiFiAct, which leverages a 20 MHz 1 transmit 1 receive (1T1R) Wi-Fi monitor to…
Data selection is essential for any data-based optimization technique, such as Reinforcement Learning. State-of-the-art sampling strategies for the experience replay buffer improve the performance of the Reinforcement Learning agent. However, they do not incorporate uncertainty in the Q-Value estima…
In this paper, we introduce the Label-Aware Ranked loss, a novel metric loss function. Compared to the state-of-the-art Deep Metric Learning losses, this function takes advantage of the ranked ordering of the labels in regression problems. To this end, we first show that the loss minimises when data…
Automatic radar based classification of automotive targets, such as pedestrians and cyclist, poses several challenges due to low inter-class variations among different classes and large intra-class variations. Further, different targets required to track in typical automotive scenario can have compl…
Matched illumination (MI) radar signals provide improved target signal to interference noise ratios (SINR) and better spread ambiguity function performance compared to conventional radar in the presence of range-spread targets. Performance improvements reported in literature are based on the assumpt…