Performance Enhancement of WiMAX System using Adaptive Equalizer
نویسندگان
چکیده
Mobile WiMAX is a wireless networking system which provides wireless broadband to fixed and mobile terminals. In this paper, firstly performance evaluation of WiMAX system with channel estimation is discussed. Performance evaluation with channel estimation is used because amplitude and phase shift causes error in wireless channel. Finally, Performance evaluation of WiMAX system using adaptive equalizer technique is then carried out. Bit error rate performance for different modulation schemes is then compared. Results show that by using adaptive equalization technique, bit error rate for all adaptive modulation techniques are improved. The equalizer mitigates the effect of the wireless channel and allows subsequent symbol demodulation.
منابع مشابه
Performance Enhancement of WiMAX System using Adaptive Equalizer
The telecommunication industry has been developing at a very fast rate, but data networking service revenue has continued to rise. This paper presents on performance enhancement of the WiMAX system (Worldwide Interoperability for Microwave Access) by using Adaptive Equalizer. WiMAX is an emerging global broadband wireless system based on IEEE 802.16 standards. It is a new wireless OFDM-based te...
متن کاملPerformance Evaluation of WiMAX System OFDM Physical Layer for Flat - Fading and Multipath - Fading Channel Environments
This paper represents an end-to-end baseband model of the physical layer of a WiMAX network according to the IEEE® 802.16 standard. The model supports all mandatory and optional data rates 27 Mb/s. The model also illustrates adaptive modulation and coding over a flat-fading and dispersive multipath fading channel, whereby the simulation varies the data rate dynamically The channel estimation te...
متن کاملSpeech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...
متن کاملA Modified Speech Enhancement Using Adaptive Gain Equalizer with Non linear Spectral Subtraction for Robust Speech Recognition
In this paper we present an enhanced noise reduction method for robust speech recognition using Adaptive Gain Equalizer with Non linear Spectral Subtraction. In Adaptive Gain Equalizer method (AGE), the input signal is divided into a number of subbands that are individually weighed in time domain, in accordance to the short time Signal-to-Noise Ratio (SNR) in each subband estimation at every ti...
متن کاملOn the Practical Aspects of Joint Passive Phase Conjugation and Equalization Underwater Communication Systems
Underwater acoustic communication systems suffer from the channel impairments which results in time spreading of the transmitted signal. In underwater environment, multiple replicas of the transmitted signal are received at the receiver through different paths, which causes significant Inter-Symbol Interference (ISI). Decision Feedback Equalizers (DFE) was utilized to overcome this type of inte...
متن کامل