This paper presents the baseband receiver design and implementation for the ultra-wideband (UWB) wireless personal area networks (WPAN). In particular, the receiver algorithms, which include frame detection, timing/frequency synchronization, and channel estimation, are designed and implemented. Simulation results demonstrate that the receiver has a packet error rate of less than 8% when Eb/N0 = 4.7 dB, link margin = 10.7 dB, and data rate = 200 Mb/s. The proposed design has been designed using 0.13 µm single-poly eight-metal CMOS process. The overall power dissipation is 132 mW at a 132 MHz system clock, while the core area is 5.62 mm2.

A decentralized estimation system usually contains a number of remotely located local sensors that can pre-process observed signal and convey the processed data to a fusion center that makes a final estimation. The local sensors are linked to the data fusion center by transmission channels. When the observation (or estimate of parameter) is quantized at the peripheral sensors and an assumption of conditionally independent sensor data is made, due to potential communication constraints on the channels, the problem of quantization design and bandwidth allocation among the channels linking local sensors to the fusion center is studied in this letter.

In this letter, sampling and quantizer design for the Gaussian detection problem are considered. A constraint on the transmission rate from the remote sensor to the optimal discrete detector is assumed. The trade-off between sampling rate and the number of quantization levels is studied and illustrated by means of an example.