Multiuser Detection for CDMA System with Optimization of Detector using ANN

نویسندگان

  • Vikas Kumar
  • Rakesh Kumar
چکیده

Code division multiple Access is a widely used channel access method by radio technologies. This method is useful as many receivers can send data simultaneously over a single communication channel. Various multi detection methods are used for the purpose. The noise is the major problem of these systems that decrease the efficiency of the system. After this Decorrelating detector were used but the major drawback of using the tradiational detector was that the background noise and the interference of other users was still faced in the matched filtration. Also the computational cost was high. So in this paper an hybrid approach is presented that is used for decreasing the BER of the system. In this approach the traditional MMSE is upgraded. .A hybrid approach is given in which a detector is combined with the MMSE detector to give the better results. This approach is considered to better than the traditional approaches as the efficiency of the system is increased. Along with this the soft computing technique like ANN is used. By using a soft computing algorithm the system is trained for various multi detection purposes from the results obtained it is concluded that the proposed technique is better and efficient than the traditional approaches as the BER system is decreased.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonlinear Multiuser Receiver for Optimized Chaos-Based DS-CDMA Systems

Chaos based communications have drawn increasing attention over the past years. Chaotic signals are derived from non-linear dynamic systems. They are aperiodic, broadband and deterministic signals that appear random in the time domain. Because of these properties, chaotic signals have been proposed to generate spreading sequences for wide-band secure communication recently. Like conventional DS...

متن کامل

Covariance Analysis of a vector tracking GPS receiver based on MMSE multiuser Detection

In high dynamic conditions, using vector tracking loops instead of scalar tracking loops in GPS receivers is proved as an efficient method to compensate the performance. The Minimum Mean Squared Error detector as a multiuser detector is applied in the vector tracking loop for more reliability and efficiency. The Kalman filter does the two tasks of tracking and extracting the navigation data aft...

متن کامل

PSO-Based NBI Resistant Asynchronous MC- CDMA Multiuser Detector

Nowadays with the increase of demand in multimedia communicat ion, a reliable and error-free wireless communication system is the need of the hour. MC-CDMA is being investigated as a potential radio technology to provide fourth generation (4G) and fifth generation (5G) cellular mobile services. Narrowband interference (NBI) signals corrupts the subcarriers of MC-CDMA system and as a result its ...

متن کامل

Population Declining Ant Colony Optimization Multiuser Detection in Asynchronous CDMA Communications

In this paperwepresent a population declining ant colonyoptimization (PDACO) multiuser detector for asynchronous CDMA communications. Ant colony optimization (ACO) algorithms have already been used inmultiuser detection inCDMAsystems; however, as the pheromone accumulates, we may not get a global optimum because it stops searching early. PDACO can enlarge searching range through increasing the ...

متن کامل

Multiuser Detection of Synchronous MC-CDMA Using Hopfield Neural Networks

Multiple-access interference (MAI) is a principal shortcoming of code division multiple access (CDMA) system. As the optimum multiuser detection (MUD) can’t be realized in practice, more attentions are paid to suboptimum detection scheme. We investigated the application of Hopfield neural network (HNN) to the problem of multiuser detection in Multicarrier CDMA(MC-CDMA) communica -tion systems i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016