基于小波的超宽带通信高斯脉冲生成与优化

V. V. Kumar, V. Ajith, M. Meenakshi
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引用次数: 6

摘要

超宽带通信是一项极具发展前景的技术,它将是无线通信领域的一场革命。这些亚纳米秒的窄脉冲将能量传播到一个很宽的频带上,因此提供了以千兆赫为单位的带宽。在选择超宽带通信的脉冲形状时,主要考虑的问题之一是满足FCC的发射掩模要求。对于一个高效的超宽带通信,频谱效率应该是好的,只有通过最佳的整形方法才有可能实现。有几种方法可以实现波的优化,但一个有效的超宽带系统应该消耗非常低的功率,最佳的带宽,并有效地适应FCC掩模。超宽带无线系统对同频段其他窄带系统产生的干扰要最小,相互干扰会降低系统的性能。该技术在不改变窄带系统结构的前提下,具有功耗低、带宽优、频谱效率高、减少相互干扰等优点。用小波法进行了波优化,是一种很有前途的波优化方法。利用基于小波的多分辨率整形技术对传输参考超宽带(TR-UWB)信号进行干扰抑制。最后对高斯脉冲的高阶导数用不同的整形因子α值对生成的超宽带信号进行优化。本文利用MATLAB生成基于小波变换的脉冲波形,以获得无干扰的多系统。
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Wavelet-Based Gaussian Impulse Generation and Optimization for UWB Communication
Ultra Wide Band (UWB) communication is a promising technology and which will be a revolution in the area of wireless communication. These subnano second narrow pulses spreading the energy over a wide frequency band and hence provides bandwidth in Giga Hertz. As one of the major concern while choosing the pulse shape for UWB communication is satisfying the FCC emission mask requirements. For an efficient UWB communication spectral efficiency should be good and it is possible to attain only with an optimal wave shaping method. The wave optimization is possible with several methods but an efficient UWB system should consumes very low power, optimum bandwidth and efficiently fitting under the FCC mask. UWB wireless systems should generate minimum interference to other Narrow Band systems in the same frequency band and mutual interference degrades the performances. The proposed technique offers low power consumption, optimum bandwidth, good spectral efficiency and reduces the mutual interferences without modifying the narrowband system architecture. The wave optimization has performed with wavelet method, which is one of the promising method. The interference mitigations also achieved with the help of wavelet based wave shaping with multi-resolution technique for the Transmitted Reference Ultra Wide Band(TR-UWB) signal. Finally the generated UWB signal has optimized with different values of wave shaping factor 'α' for higher order derivative of Gaussian pulse. Here wavelet based impulse waveform is generated using MATLAB for obtaining an interference free multisystem.
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