Synthesis & Analysis of Adaptive Beamforming Smart Antenna for Advanced Communication Systems
نویسندگان
چکیده
Recent developments in the field of wireless communication systems are due to the development in field of Smart Antennas. These Antennas are capable of fulfilling high demand of data rate, capacity and also offers good quality of services to wireless communication systems. These characteristics can be obtained by increasing the gain of antenna in the desired direction; which is achieved by directing main lobes of the antenna beam pattern towards the desired users and null patterns in the direction of interferers. The most important feature of a smart antenna is its beam forming capability. During beam forming the smart antenna creates a directional beam toward the desired user and nulls the signal in the directions of undesired users by appropriately adjusting the magnitude and phase of the signal transmitted by each of its elements. In comparison to Omni-directional transmissions, beam forming reduces interference, allowing more concurrent transmissions in the network. Moreover, by concentrating the transmission energy in a specific direction, beam forming creates a signal that is in order of the magnitude stronger than that of the signals in other directions. This technique can be used to increase the coverage of a particular area or data rate or the spectral efficiency of the system. The increased signal-to-noise ratio results in a larger gain in the direction of the desired user, and also provides better control of the distribution of spatial interference in the cell. Beam forming can be applied to the both downlink and uplink. This paper focuses on synthesis and analysis of adaptive beam forming smart antennas. RLS and LMS Algorithm methodoly has been applied to observe the behavior of antenna. The obtained results are compared via simulations and the effectiveness of the proposed system is verified for different wireless communication networks.
منابع مشابه
Smart Antenna Downlink Beamforming for Uncorrelated Communication Links
Smart antennas can be used to increase the capacity, the link quality and the coverage of existing and future cellular mobile communication networks. Several sophisticated uplink algorithms have been proposed for beamforming and signal detection. But downlink beamforming seems to be the bottleneck of the applicability of adaptive antennas in cellular mobile communication systems. Obviously, a s...
متن کاملSMART ANTENNA –AOA ESTIMATION EMPLOYING MUSIC ALGORITHM And DIGITAL BEAMFORMING By VARIABLE STEP-SIZE LMS ALGORITHM With NOVEL MAC PROTOCOL For IEEE 802.11
Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless communication systems which provides higher spectrum efficiency, improved link quality and throughput through frequency reuse, reduction of intersymbol interference (ISI) and co-channel interference rejection (CCI)[1]. Space Division Multiple Access, where multiple user signals are simultaneously trans...
متن کاملAnalysis of LMS and MUSIC Algorithms for Adaptive Array Antenna System
As technology developed this decade proves communication is the most important factor for the data interchange. Smart antennas have been considered to be one of the most demanding communication technologies. It adapted as most demanding technology because of high-bit rate or high quality in broadband commercial wireless communication. Many algorithms for smart antenna system have been developed...
متن کاملSmart Antenna Beamforming using LMS Adaptive Filter Algorithm
Adaptive filters are novel kind of filters used in Digital Signal Processing with adjustable weights. The weight adjustment in adaptive filters is done using some special kind of algorithms called as adaptive algorithms. Adaptive filters have a number of applications in various fields like signal processing, communication systems biomedical etc. One of the novel applications of Adaptive filters...
متن کاملAdaptive Array Beamforming Using an Enhanced Rls Algorithm
In recent times, the use of Smart Antennas (SAs) in wireless communication systems has greatly increased. This is because of their ability to increase the coverage and capacity of a communication network. There are two main functions which SAs can perform. The first one is to ensure that the signal has a proper direction of arrival (DOA) and the second function is to achieve the desired beamfor...
متن کامل