Acoustic detection based on coherence bandwidth

Traditional security systems which include video cameras continuously recording and transmitting data for surveillance systems require a password to prevent entry by unauthorised persons. Actually, such systems have weaknesses such as blind spots or danger of stealth. This reported work focuses on intruder detection in indoor environments, which is based on acoustic channel characteristics. The basic concept of this study is to compute the coherence bandwidth from the measured room impulse response. The coherence bandwidth is influenced by channel delay profiles. Intruders give rise to changes in room channel impulse response inside the room. This variation causes change in the channel delay profile. Experiments have been performed to validate the effectiveness of the proposed method.