The dynamic decode-and-forward channel: SNR allocation.

In the half-duplex relay channel applying the decode-and-forward protocol the relay introduces energy over random time intervals into the channel as observed at the destination. Consequently, during simulation the average signal power seen at the destination becomes known at run-time only. Therefore, in order to obtain specific performance measures at the signal-to-noise ratio (SNR) of interest, strategies are required to adjust the noise variance during simulation run-time. It is necessary that these strategies result in the same performance as measured under real-world conditions. This paper introduces three noise power allocation strategies and demonstrates their applicability using numerical and simulation results.

A touchless passive Infrared gesture sensor.

A sensing device for a touchless, hand gesture, user interface based on an inexpensive passive infrared pyroelectric detector array is presented. The 2 x 2 element sensor responds to changing infrared radiation generated by hand movement over the array. The sensing range is from a few millimetres to tens of centimetres. The low power consumption (< 50 μW) enables the sensor’s use in mobile devices and in low energy applications. Detection rates of 77% have been demonstrated using a prototype system that differentiates the four main hand motion trajectories – up, down, left and right. This device allows greater non-contact control capability without an increase in size, cost or power consumption over existing on/off devices.

CFAR Adaptive PN Code acquisition for DSSS Systems.

Constant false alarm rate (CFAR) techniques can be used in Pseudo-Noise (PN) code acquisition in Spread Spectrum (SS) communication systems, and all the CFAR techniques perform well in homogeneous background PN code acquisition. However, in non-homogeneous background, some CFAR techniques suffer rapid degradation. GO/SO (Greatest-of/Smallest-of) CFAR and adaptive censored mean level detector (ACMLD) are two adaptive CFAR techniques, which are analyzed and compared with other CFAR techniques. The simulation results show that GO/SO CFAR is superior to other CFAR techniques, it maintains short mean acquisition time (MAT) even at environment with strong clutter noise, and ACMLD is suitable for background with strong interfering targets