Optimization Capabilities of LMS and SMI Algorithm for Smart Antenna Systems
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 26، شماره: 11
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 713
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-26-11_007
تاریخ نمایه سازی: 17 خرداد 1393
چکیده مقاله:
In the present paper convergence characteristics of Sample Matrix Inversion (SMI) and Least Mean Square (LMS) adaptive beam-forming algorithms (ABFA) are compared for a Smart Antenna System(SAS) in a multipath environment. SAS are employed at base stations for radiating narrow beams atthe desired mobile users. The ABFA are incorporated in the digital signal processors for adjusting the weights to adjust the beam on the desired user and generate null in the direction of interferer. SMI and LMS algorithms are used with SAS for improving the performance of wireless communication systemby optimizing the radiation pattern according to the signal environment. This can enhance the coverage and capacity of the system in multipath environment by reducing the interference and noise. The data rate can be enhanced by mitigating fading due to cancellation of multipath components. In this paper,optimization capabilities of SMI and LMS are considered by changing the parameters. The results reveal improvement in gain, speed of convergence and reduction in side-lobe level
کلیدواژه ها:
نویسندگان
a Udawat
Department of Electronics and Communication Engineering, Acropolis Technical Campus, RGPV, India
p.c sharma
Sushila Devi Bansal College of Technology, RGPV, India
s Katiyal
School of Electronics, DAVV, India