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[Driver Developinterference1

Description: 在3G,CDMA系统下,并行干扰消除仿真的例子 进行并行干扰消除之后,接收性能比没有进行并行干扰消除好,并且进行多级又比没有进行的好-In 3G, CDMA system, the parallel interference cancellation example simulation parallel interference cancellation, the receiver performance is not good for parallel interference cancellation and multi-level than no good
Platform: | Size: 1024 | Author: chenxiaohua | Hits:

[Communication-MobileInterferenceCancellationinMulticarrier

Description: Its all about successive interference cancellation in MC-CDMA
Platform: | Size: 361472 | Author: mahesh kumar R | Hits:

[Algorithmproject5

Description: CDMA Interference Cancellation using Iterative Methods
Platform: | Size: 399360 | Author: Solmaz | Hits:

[Othermultiuser

Description: 本文针对并行干扰抵消检测器的不足之处,提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值,以提高检测可靠性。通过仿真实验,首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能,验证改进算法的系统性能得到明显改善;并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较,验 证得到该改进算法的性能也有不同程度的改善。 -this paper discusses the principle and performance of the conventional detector and the parallel interference cancellation(PIC)detector separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER.
Platform: | Size: 571392 | Author: bluels123 | Hits:

[Software Engineeringpicmaterils

Description: Parallel Interference Cancellation in MC-CDMA
Platform: | Size: 200704 | Author: Akshay Agnihotri | Hits:

[OtherParallel-and-Successive-IC

Description: Parallel and Successive Interference Cancellation for MC-CDMA and their Near-Far Resistance
Platform: | Size: 122880 | Author: 李鹏 | Hits:

[Documents1-comp

Description: In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in comparison with the subspace approach. Using only second order statistics, the ACM approach shows similar performance to that of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation as in subspace technique. In particular we incorporate blind channel estimation with Layered Space Frequency Equalisation (LSFE),which employs successive interference cancellation and therefore provides significant performance improvement over the conventional linear minimum mean square error (MMSE) based approach.
Platform: | Size: 109568 | Author: Casper_z | Hits:

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