As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …

This paper proposes a passive Doppler radar as a non-contact sensing method to capture
human body movements, recognize respiration, and physical activities in e-Health …

Detection of human presence and activity event classification are of importance to a variety
of context‐awareness applications such as e‐Healthcare, security, and low impact building …

In this study, spatial separation of the radar transmitter and receiver units is considered, as a
means of reducing the masking effect in noise radars. A bistatic radar system is constructed …

Physical activity recognition is an important research area in pervasive computing because
of its importance for e-healthcare, security, and human-machine interaction. Among various …

In order to solve the problem when the target detection of passive bistatic radar is seriously
affected by direct signal and multi-path, a clutter cancellation algorithm based on frequency …

Cancellation of clutter and multipath is an important problem in passive bistatic radars.
Some important recent algorithms such as the ECA, the SCA and the ECA-B project the …

In this paper, we propose a gesture recognition method based on interference suppression
with Frequency Modulation Continuous Wave (FMCW) radar. We analyze the sampling point …

Passive Bistatic radar is an effective and low-cost approach to surveillance in an area of
interest. In many bistatic radar configurations, the impact of the Direct Signal Interference …

Direct signal, clutter, and multipath echoes are received along with surveillance signal in
passive bi-static radars. These signals degrade the target detection capability of the radar …