世博花车无线同步控制系统设计

介绍了世博花车无线同步控制系统的结构,详细说明了无线同步控制系统所采用的技术以及无线同步控制设备的软硬件组成,经安装调试后,系统正常工作,圆满完成了世博会的任务.     

IEEE 802.11协议中GFSK调制解调的算法与实现

介绍了在IEEE802．11协议的跳频传输系统中，GFSK调制解调的实现原理。讨论了选择直接相位检测来实现解调的原因，并给出了一套低成本的实现方案。     

数字GFSK调制解调的算法与实现

高斯频移键控（Gauss frequencyShift Keying,GFSK）是一种广泛应用于低数据速率的个人通信标准（如蓝牙）的调制方式。限于低功耗和低成本,GFSK收发机通常在模拟域设计。为了改进误比特率和提高不同的复杂设备之间的综合能力,数字GFSK调制解调技术应运而生。在该文,将着重讨论最小平方（LS）与最大似然估计法（MS）是利用计算机辅助技术来实现GFSK载波恢复。通过估测误差方差的分析,我们发现LS/ML载波频率偏移估计法优于传统DFT法。除此之外,本方法也能有效地处理直流的数据源。通过在MATLAB上进行仿真,在高斯白噪声环境中实现了理想误码率的GFSK传输仿真。     

基于无线通信的防窃电系统设计

有效遏制窃电行为具有重大意义,但目前缺乏可靠实用的防窃电手段。在介绍窃电危害性、窃电方式和目前防治窃电技术措施的基础上,提出了一种基于无线通信技术的防窃电实时监控系统;介绍了系统结构、工作原理及功能;最后举例说明了具体应用。该系统能够准确、实时地检测出窃电,且运行稳定可靠。     

基于DSP和RF ASIC芯片的GFSK调制解调器

介绍了一种基于DSP和RFASIC芯片的GFSK正交调制解调器的设计和研制方案。回顾了传统的GFSK调制器的硬件实现方法,分析了GFSK正交调制器的基带构成,讨论了在SYSTEMVIEW平台下GFSK调制解调器的系统仿真,并将仿真算法用于TI VC5402 DSP,在子系统级RFASIC芯片U2793B和AD6459的硬件环境中,较好地实现了GFSK正交调制解调功能。     

Novel design for non‐latency wireless binaural hearing aids

Binaural hearing aids consist of two hearing devices, one for each ear. A new concept of binaural hearing aids is proposed, in which only the master hearing aid contains a Bluetooth chip for receiving stereo audio signals from an external device, and the signal in one channel is sent to the slave hearing aid from the master by a 2.4‐GHz Gaussian frequency‐shift keying (GFSK) RF transmission method to create the binaural hearing effect. However, a problem arises in regard to the processing necessary for the signal transmission and reception in the two hearing aids, which creates a time delay that causes the precedence effect. Therefore, an audio delay processing algorithm has been designed in the master hearing aid to synchronize with the sound output of the slave hearing aid. Experimental results show that the time difference between the two hearing aids is about 8 µs, which is effective for avoiding the precedence effect. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

The low power analogue and digital baseband processing parts of a novel multimode DECT/GSM/DCS1800 terminal

In order to support a multimode DECT/GSM/DCS1800 terminal architecture, with low power characteristics and integrated support for direct conversion terminal architecture, the critical parts of such a terminal were designed and implemented using three different chips. These parts include a baseband processor, a modem and suitable analogue parts. The baseband processor was designed to support multimode operation, all baseband processing required and different terminal architectures (heterodyne or direct conversion). The modem features a GMSK/GFSK modulator and a novel, low power detection algorithm supports a direct conversion terminal. The analogue circuitry includes analogue filters and Digital-to-Analog and Analog-to-Digital converters. The architecture of the direct conversion wireless terminal is presented along with details on the low power characteristics of the processor and the modem. Experimental results from the operation of the multimode terminal are presented.     

一种应用于WIA-PA收发机的低功耗高灵敏度CMOS GFSK解调器

本文针对工业无线传感网WIA-PA标准设计出一款应用于收发机中的低功耗、高灵敏度、频率偏差能够自动消除的GFSK解调器。从低功耗角度出发,该收发机中的接收机采用中频为1.5M的低中频结构,发射机采用基于sigmadelta结构的锁相环间接调制方式。本文提出的GFSK解调器采用TSMC 0.18 um 1P6MRF工艺流片,有效面积为0.14mm2。经测试,该解调器能够处理±180 KHz的频率偏差并没有谐波干扰;在1‰的误码率条件下,仅需要18.5dB的信噪比;并且在1.8V电源供电情况下,整个解调器消耗功耗不超过0.26mA。     

802.11基带处理芯片中GFSK调制解调系统的实现

无线局域网是一种短距离无线通信系统。本文介绍了802．11协议中GFSK的调制原理，并提出了一种低成本、低功耗的GFSK调制解调实现方案，可应用于802．11基带处理芯片的设计中。     

Fractional Multi‐bit Differential Detection Technique for Continuous Phase Modulation

A new low‐complexity differential detection technique, fractional multi‐bit differential detection (FMDD), is proposed in order to improve the performance of continuous phase modulation (CPM) signals such as Gaussian minimum shift keying (GMSK) and Gaussian frequency shift keying (GFSK). In comparison to conventional one‐bit differential detected (1DD) GFSK, the FMDD‐employed GFSK provides a signal‐to‐noise ratio advantage of up to 1.8 dB in an AWGN channel. Thus, the bit‐error rate performance of the proposed FMDD is brought close to that of an ideal coherent detection while avoiding the implementation complexity associated with the carrier recovery. In the adjacent channel interference environment, FMDD achieves an even larger SNR advantage compared to 1DD.