Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined. Platform: |
Size: 147456 |
Author:prasad |
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Description: 认知无线电能有效缓解无线电频谱资源匮乏问题，正交频分复用（OFDM）非常适合认知无线电系统。动态频谱资源分配是认知系统的一项重要功能。本文的目标就是最小化成本函数，这个函数考虑到主用户以及次用户的干扰功率。-Cognitive radio (CR) is a promising concept for improving the utilization of scarce radio spectrum resources. Orthogonal frequency division multiplexing (OFDM) is regarded as a technology which is well-matched for CR systems. Dynamic resource allocation is an important task in such systems. A novel resource allocation algorithm for multiuser OFDM cognitive radio system is presented in this paper. The objective is to minimize a cost function which takes into account the interference
power experienced by the primary user as well as the base station transmit power for secondary users given minimum bit rate requirements for each secondary user. Platform: |
Size: 201728 |
Author:洪波 |
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Description: problem of blind demodulation of multiuser
information symbols in a high-rate code-division multiple-access
(CDMA) network in the presence of both multiple-access interference
(MAI) and intersymbol interference (ISI) is considered. Platform: |
Size: 222208 |
Author:karti |
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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 |
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Description: 只使用待测用户的观测数据，不需要其他用户（干扰用户）信息就可以抵消多址干扰进行检测的自适应检测器称为盲自适应多用户检测器，常简称为盲多用户检测。用LMS算法更新检测器系数时即为盲自适应多用户检测的LMS算法-Use only tested the user' s observations, no other user (interference user) information to be offset by multiple access interference detection and adaptive detector known as the blind adaptive multiuser detector, usually referred to as the blind multiuser detection. Detector with LMS coefficient update algorithm when it is blind LMS adaptive multiuser detection algorithm Platform: |
Size: 1024 |
Author:草莓布丁 |
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Description: 只使用待测用户的观测数据，不需要其他用户（干扰用户）信息就可以抵消多址干扰进行检测的自适应检测器称为盲自适应多用户检测器，常简称为盲多用户检测。用RLS算法跟新检测器系数时即为盲自适应多用户检测的RLS算法，-Use only tested the user' s observations, no other user (interference user) information to be offset by multiple access interference detection and adaptive detector known as the blind adaptive multiuser detector, usually referred to as the blind multiuser detection. RLS algorithm with a new detector with the coefficient when it is blind adaptive multiuser detection of RLS algorithm Platform: |
Size: 1024 |
Author:草莓布丁 |
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Description: 两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。-This paper discusses two algorithms (LMS and RLS) to achieve blind multiuser detection CDMA system simulation. Conclusion is verified in the Additive White Gaussian noise channel, the synchronous DS-CDMA system receiver applications both blind multiuser detection algorithm to suppress Multiple Access Interference（MAI）and Inter Symbol Interference (ISI) the ability of simulation is consistent with the theoretical. Both experiment and theory show that, RLS’s Performance is better than LMS, and the LMS ‘s computation was significantly less than RLS. Platform: |
Size: 1024 |
Author:song |
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Description: The use of space-division multiple access (SDMA) in the downlink of a multiuser multiple-input, multiple-output (MIMO) wireless communications network can provide a substantial gain in system throughput. The challenge in such multiuser systems is designing transmit vectors while considering the co-channel interference of other users. Typical optimization problems of interest include the capacity problem - maximizing the sum information Platform: |
Size: 1024 |
Author:uuk |
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Description: this a source code for ici interference cancellation in multiuser detection-this is a source code for ici interference cancellation in multiuser detection Platform: |
Size: 5120 |
Author:kumari |
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Description: The combined Block Digonalization precoding and
Geometric Mean Decomposition (BD-GMD) scheme is developed
to eliminate the multiuser interference and improve the system
performance of bit error rate (BER) in the multiuser multiple
input multiple output (MU-MIMO) systems. Platform: |
Size: 248832 |
Author:林浩 |
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Description: 盲多用户检测的LMS和RLS算法,在DS/CDMA通信系统中，为了解调出用户的有用信息，必须尽可能地抑制由其它用户扩频信号产生的多址干扰（MAI，Multiple Access Interference）。尽管最佳多用户检测器可以很好地抑制MAI，但其运算量会随着用户数的增加而呈指数增加。盲多用户检测技术可以在不知道其他用户信息的情况下检测出目标用户，所以在实际应用中有着十分重要的应用前景.-LMS and RLS algorithm Blind Multiuser Detection in DS/CDMA communication system, in order to demodulate the user useful information, must be possible to inhibit the spread spectrum signals generated by other users multiple access interference (MAI Multiple Access Interference) . Although the optimal multi-user detector can suppress MAI, but its computational complexity increases exponentially with the number of users increase. Blind Multiuser Detection technology can not know the other user information detected the target user, has a very important application prospect in practical applications. Platform: |
Size: 1024 |
Author:xiha |
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Description: Zero-forcing (or Null-Steering) precoding is a spatial signal processing by which the multiple antenna transmitter can null multiuser interference signals in wireless communications Platform: |
Size: 2048 |
Author:tran huu quang |
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Description: We present a user-scheduling scheme for multiuser multiple-input–multiple-output (MIMO) systems with random unitary beamforming (RUB) in this paper. The new scheme, which is termed as adaptive beam activation based on the conditional best beam index feedback (ABA-CBBI), requires low average feedback load by imposing a feedback threshold on the users’ signal-to-interference-plus-noise ratio (SINR) and suffers less multiuser interference by only activating those beams requested by at least one user. Platform: |
Size: 12401664 |
Author:diwakar pandey |
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Description: This course provides advanced knowledge of wideband wireless communication
techniques. It include the areas of diversity: Time diversity, Space diversity, Frequency
TELE9753 Advanced Wireless Communications 2
diversity; Wideband CDMA systems, Wideband OFDM systems, antenna arrays, MIMO
channel modeling in the angular domain and statistical models, smart antennas
techniques, multiple-input/multiple-output communications systems, spatial multiplexing,
space-time processing and coding; and multiuser detection and receiver designs, multiple
access and interference management, opportunistic communication, multiuser
water filling. Platform: |
Size: 92160 |
Author:Khan17
|
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