2 edition of Semi-blind strategies for interference suppression in DS-CDMA systems. found in the catalog.
Semi-blind strategies for interference suppression in DS-CDMA systems.
Ryan A. Pacheco
Thesis (M.A.Sc.) -- University of Toronto, 2000.
|Series||Canadian theses = -- Thèses canadiennes|
|The Physical Object|
|Pagination||1 microfiches : negative. --|
Linear MMSE Receivers for Interference Suppression & Multipath Diversity Combining in Long-code DS-CDMA Systems by Arash Mirbagheri A thesis presented to the University of Waterloo in fulﬁlment of the thesis requirement for the degree of Doctor of Philosophy in Electrical and Computer Engineering Waterloo, Ontario, Canada, c Arash. assisted by interference cancellation or suppression tech-niques. KEY WORDS code division multiple access, iterative soft demodulation, interference cancellation, interference suppression. 1 Introduction In this paper, we study a coded CDMA system with orthog .
This paper proposes a cellular mobile system employing a combination of time division multiple access (TDMA), to multiplex users within a cell, and code division multiple access (CDMA), to control interference between cells. The suppression of narrowband interference (NBI) in DS/CDMA-spread spectrum communication systems has been studied since the early s, when spread spectrum techniques became popular as a means of meeting the growing demand for increased communications by: 5.
In DS/CDMA, both spatial and space-time filters have usu-ally been proposed to alleviate the co-channel interference (i.e., interference of other users in the system) and achieve a desired signal enhancement. For example, in , a space-and-then-time architecture for DS/CDMAcomposed ofa spatial matched filter. CDMA Techniques for Third Generation Mobile Systems presents advanced techniques for analyzing and developing third generation mobile telecommunication systems. Coverage includes analysis of CDMA-based systems, multi-user receivers, Turbo coding for mobile radio applications, spatial and temporal processing techniques as well as software radio techniques.
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Benchmark which the semi-blind algorithms are compared against. Next. a framework for semi-blind iterative interference suppression is developed which is then used to enhance the LS estimator by adding the constant modulus and cyclostationar-y properties used in blind algorithms.
Finally. a decision-aided (multistage) semi-blind algorithm that jointly processes the signals from. SAMARDZIJA et al.: BLIND SUCCESSIVE INTERFERENCE CANCELLATION FOR DS-CDMA SYSTEMS from the interference subspace (eigenvectors) are projected out and successively cancelled from the received vector.
The push toward more efficient and flexible use of the radio spectrum has led to the consideration of the overlay of spread-spectrum (SS) communication netCited by: In this paper we present a new approach for blind suppression of interference in a direct sequence code division multiple access (DS-CDMA) communication system.
A recursive modified Gram–Schmidt algorithm for interference suppression in DS-CDMA systems has been presented. It is shown by simulation that the RMGS-based receiver is near–far resistant, more stable and provides improved numerical accuracy compared to the conventional RLS by: 1.
This paper addresses the problem of interference suppression in direct sequence code division multiple access systems. We propose a novel semiblind de Cited by: 1. Simulations for an application to interference suppression in multiuser DS-CDMA systems show the advantages of the proposed algorithms.
In this paper, we present recent developments in interference suppression using blind adaptive receivers that do not require knowledge of the signal waveforms and propagation channels of the interference, and that require a minimal amount of information about the desired signal.
Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach Monica F. Bugallo. a, Joaqu!"n M!"guezb, Luis Castedob aDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NYUSA.
• A conventional DS/CDMA system treats each user separately as a signal, with other users considered as noise or MAI - multiple access interference • Capacity is interference-limited. • Near/far effect: users near the BS are received at higher powers than those far away. • suffer degradation File Size: KB.
Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems Article in IEEE Transactions on Signal Processing 49(1) - February with 15 Reads. In this paper we propose a multistage nonlinear blind interference cancellation (MS-NL-BIC) receiver for direct-sequence code-division multiple-access (DS-CDMA) systems.
The receiver uses higher order statistics of the received baseband by: 2. these systems and its viability for higher data rates envisioned in the future. In DS-CDMA systems, in general, crosscorrelations between signature (spreading) sequences are nonzero.
This results in the near-far e ect where the multiple-access interference (MAI) can disrupt reception of a highly attenuated desired user signal .
We propose an iterative blind interference reduction strategy for short-burst coded DS-CDMA systems. The blind strategy works by creating a set of ‘training sequences’ in the receiver that are. Blind interference cancellation schemes for DS-CDMA systems. In Proc. IEEE/URSI International Symposium on Antennas and Propagation, pages73–76,July invited paper.
[P8] T. Ristaniemi and T. Huovinen. Joint multipath delay tracking and in-terference cancellation in DS-CDMA systems using successive ICA for oversaturated data. Nonlinear Adaptive Blind Interference Cancellation for DS-CDMA Systems Dragan Samardzija Wireless Communications Research Department, Lucent Technologies, Holmdel-Keyport Road, Holmdel, NJUSA [email protected] Narayan Mandayam, Ivan Seskar WINLAB, Rutgers University, 73 Brett Road, Piscataway NJUSA narayan, [email protected]
of CDMA systems where intracell user transmissions are orthogonal. Introduction In DS-CDMA systems, in general, crosscorrelations be-tween signature (spreading) sequences are nonzero.
This re-sults in multiple-access interference (MAI) which can disrupt reception of highly attenuated desired user signal. This is known as the near-far e ect. the case of a semi-blind interference suppression techniqu e.
Under s trong interfere nces, this technique was able to sup- press the interfering source in the presence of a multipath. Blind source separation based interference suppression schemes for OFDM and DS-CDMA They are blind, semi-blind and non-blind or normal schemes.
Two fundamental properties are empha-sized by the adjective “blind”. First is no source signals are observed. Cited by: 3.
onality to remove multiuser interference and unknown multipath effects , . Direct-sequence code-division multiple access (DS-CDMA) is the major motivation behind iv) because it offers a promising alternative to traditional time- and frequency-division commu-nications.
Blind multiuser detection of DS-CDMA signals is dealt with. conventional DS/CDMA system treats each user separately as a signal, with the other users considered as either interference, Multiple Access Interference, or noise. The detection of the desired signal is protected against the interference due to the other users by the inherent interference suppression capability of CDMA.
Performance of the DS-CDMA systems with two BSS suggestions and standard DS-CDMA system is presented by Fig. 4 where the results for algorithm 1 and 2 are released in Fig. 4a, b respectively. As in Fig. 4a, b, performance curves of the two derivatives shows clear differences for each of the user case.
Suggested algorithms perform well when the Cited by: 3.In this section a concrete discrete-time model of a DS-CDMA system is constructed for the discussion of the problem formulation. The transmitter and receiver structures of DS-CDMA systems involve K simultaneous users.
We consider the DS-CDMA model as a synchronous one, which is a base band model with fading channel [1,6].Assuming that the system has K users, the signal is sent by user k as Cited by: 3.