Search

In this study, we propose a novel positioning and searching system for emergency location services, namely the hyper-enhanced local positioning system (HELPS), which is applicable to all mobile phone users, including legacy feature phone users. In the case of an emergency, rescuers are dispatched with portable signal measurement equipment around the estimated location of the emergency caller. Each signal measurement device measures the uplink signal from the mobile phone of the caller. After calculating the rough location of the caller's mobile phone based on these measurements, rescuers can efficiently search for the caller using the received uplink signal strength. Thus, the positioning accuracy in a conventional sense is not a limitation for rescuers in finding the caller. HELPS is not a traditional positioning system but rather a system with humans in the loop designed to reduce search time in emergencies. HELPS can provide emergency location information even in environments where the GPS or WiFi is not functional. Furthermore, for HELPS operation, no hardware changes or software installations on the caller's mobile phone are required.

The authors present the performance of double dwell acquisition using a continuous integration detector. One performance measure in an acquisition system is the mean acquisition time, which depends on detection and false alarm probability. The detection and false alarm probability of double dwell acquisition using continuous integration detector is derived.

The author presents the performance of convolutional codes truncated by input information of finite length. In a convolutional code, the error rates of each bit are different. The upper bound on the error rate for each bit within a convolutional code is derived and analysed.