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检索条件"主题词=low computational complexity"

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A low-complexity Error-and-Erasure Decoding Algorithm for t=2 RS Codes 33

A Low-Complexity Error-and-Erasure Decoding Algorithm for t=...

引用

33rd IEEE International Workshop on Signal Processing Systems (IEEE SiPS)

作者： Yan, Zengchao Li, Wenjie Lin, Jun Wang, Zhongfeng Nanjing Univ Sch Elect Sci & Engn Nanjing Peoples R China

ISBN: (纸本)9781728119274

Reed-Solomon (RS) codes are widely adopted in numerous digital communication systems to handle the possibly occurred errors and/or erasures during the data transmission. This paper focuses on the t = 2 RS codes and proposes a low-complexity error-and-erasure decoding algorithm for them. The proposed algorithm directly computes the errata location polynomial instead of performing the iterative Berlekmap-Massey (BM) algorithm which is usually adopted in the conventional RS decoding algorithm. Moreover, a method to directly compute the errata locations and errata magnitudes is also presented. For a (255, 251) RS code, the proposed error-and-erasure decoding algorithm can save over 90% multiplications and additions of the conventional decoding algorithm. In addition, the complexity reduction becomes more significant as code length increases.

关键词： Error-correction-codes reed-solomon codes double-error-correcting erasure-correcting direct calculation low computational complexity

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High Resolution ISAR Imaging Using Homotopic Non-Convex Regularization 16

High Resolution ISAR Imaging Using Homotopic Non-Convex Regu...

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16th International Conference on Optical Communications and Networks (ICOCN)

作者： Wang, Tianyun Liu, Bing Cong, Bo Ling, Xiaodong Liu, Yong China Satellite Maritime Tracking & Control Dept Jiangyin 214431 Peoples R China

ISBN: (纸本)9781538632734

A novel high-resolution inverse synthetic aperture radar (ISAR) imaging method using homotopic non-convex regularization technique is proposed in this paper. Compared with exsiting compressive sensing (CS) based imaging methods, the proposed method can deal well with off-grid scatterers in the imaging scene, besides it has low computational complexity, therefore has potential to be applied in practice. Experimental results with B727 data show the effectiveness of related analysis.

关键词： ISAR imaging compressive sensing off-grid scatterers low computational complexity homotopic non-convex regularization

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low-complexity STAP VIA SUBSPACE TRACKING IN COMPOUND-GAUSSIAN ENVIRONMENT

LOW-COMPLEXITY STAP VIA SUBSPACE TRACKING IN COMPOUND-GAUSSI...

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IEEE Radar Conference (RADAR)

作者： Wang, Pu Pun, Man-On Sahinoglu, Zafer Stevens Inst Technol ECE Dept Hoboken NJ 07030 USA MERL Cambridge MA 02139 USA

ISBN: (纸本)9781424489022

This paper considers the subspace tracking approach for low-complexity space-time adaptive processing (STAP) in the non-homogeneous compound-Gaussian environment. Specifically, a normalized subspace tracking (NST) and an instantaneously normalized subspace tracking (iNST) detectors are proposed to mitigate the effect of the time-varying texture (power) component on the detection performance and track the subspace of the stationary speckle component. On one hand, the two proposed detectors can be considered as a fast implementation of the normalized eigen-canceler by replacing the conventional eigen-decomposition with the subspace tracking techniques. On the other hand, they improve existing subspace tracking-based STAP detectors which mostly deal with homogeneous environment and ignore the power variation among range bins. Extensive simulations confirm that the proposed detectors are able to provide performance gain over conventional subspace tracking-based STAP detectors in the compound-Gaussian environment.

关键词： Space-time adaptive processing compound-Gaussian environment subspace tracking low computational complexity reduced-rank detection

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A Novel Collision Detection Scheme for Wireless Sensor Networks using Received Signal Dynamic Range Statistics

A Novel Collision Detection Scheme for Wireless Sensor Netwo...

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23rd Wireless and Optical Communication Conference (WOCC)

作者： Alassery, Fawaz Ahmed, Walid K. M. Sarraf, Mohsen Lawrence, Victor Stevens Tech Hoboken NJ 07030 USA Broadcom Inc Irvine CA USA Appl Commun Sci Hoboken NJ USA Stevens Inst Technol Hoboken NJ USA

ISBN: (纸本)9781479952496

Wireless Sensor Networks (WSNs) have a limited power source which is a small battery installed in each node. The main concern in designing WSNs is how to extend the lifetime of network nodes. Power consumption in WSNs has been investigated in a lot of research. In this paper we propose a novel power saving algorithm which has a low computational complexity in comparison with existing coding/decoding schemes. Instead of decoding every received signal our proposed algorithm avoid the high computational complexity via analyzing the sanity of the received packet. So, the receiver can detect collisions and determine when the transmitted signals need to be decoded. Our proposed algorithm achieves a significant power saving due to avoid decoding of transmitted signals which involve in collisions. Based on two proposed algorithm metrics, thresholds, modulation schemes and different scenarios, we use MATALB to show performance gains of our proposed algorithm.

关键词： WSN Algorithms Power Consumption Packets Collision low computational complexity

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low complexity IA Design for the Multi-Cell MIMO Downlink Cellular Network 96

Low Complexity IA Design for the Multi-Cell MIMO Downlink Ce...

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IEEE 96th Vehicular Technology Conference (VTC-Fall)

作者： Liu, Weihua Fan, Junchuan Zhang, Yuanyuan Yu, Zeqi Cui, Yong Zhengzhou Univ Light Ind Sch Comp & Commun Engn Zhengzhou 450002 Peoples R China

ISBN: (纸本)9781665454681

Interference alignment (IA) is a promising technology to effectively eliminate interference and improve the wireless communication network capacity. However, the low complexity IA solution with high degrees of freedom (DoF) for the multi-cell multi-user cellular network is still an open problem that needs to be solved. To address this problem, in this paper, the two-stage IA scheme for the multi-cell multi-user multiple-input multiple-output (MIMO) interfering broadcast channel (IFBC) model is investigated. Since a multi-cell IFBC is a complex interfering channel model, it is simplified into several simple models. The complex MIMO IFBC model can be first transformed into a simple K-user MIMO interference channel model, by designing the first stage precoding matrix to eliminate inter-cell interference (ICI). Based on the designed first stage precoding matrix, the MIMO IFBC becomes several single-cell MIMO IFBCs, and the second stage precoding matrix can be designed to eliminate inter-user interference (IUI). The high system sum-rate performance and low computational complexity of the proposed IA design scheme are verified through a series of simulations.

关键词： Interference alignment (IA) degrees of freedom (DoF) low computational complexity multiple-input multiple-output interfering broadcast channel (MIMO IFBC)

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An Efficient complexity Reduction Scheme for G723.1 Speech Coder 4

An Efficient Complexity Reduction Scheme for G723.1 Speech C...

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IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)

作者： Lin, Rong-San Southern Taiwan Univ Sci & Technol Tainan Taiwan

ISBN: (纸本)9781509040179

Because of the limited computational capability of personal electronic devices in multimedia communication, a coder with low computational complexity is necessary for integrating services from several media sources. This paper presents a scheme that uses a third-order adaptive pitch predictor to reduce the computational complexity of the G.723.1 speech coder. The simulation results indicate that the average perceptual evaluation of speech quality score is degraded slightly, by 0.08, and our proposed method can reduce computational complexity by about 36.9% compared with the original G.723.1 encoder computation load, and with perceptually negligible degradation. Objective evaluations verify that our proposed complexity reduction scheme can provide speech quality equivalent to that of the original coder.

关键词： Third-order adaptive pitch predictor low computational complexity

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low-complexity Grouping Precoding Based on RSMA for Multibeam Satellite System (Invited Paper) 59

Low-Complexity Grouping Precoding Based on RSMA for Multibea...

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59th Annual IEEE International Conference on Communications (IEEE ICC)

作者： Li, Zhiqiang Han, Shuai Li, Cheng Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)9798350304060;9798350304053

Multibeam satellite system can provide seamless information service with high spectrum efficiency (SE). However, adjacent beams will cause severe inter-beam interference due to the reuse of spectrum resources in each beam. The existing interference management schemes regard multibeam satellite system as terrestrial multi-antenna system, and then apply precoding technology to mitigate inter-beam interference, which neglects the characteristics of beam gain attenuation. Meanwhile, the traditional precoding technology for all users will significantly challenge satellites with limited computational resources. Motivated by this, we design a low-complexity grouping precoding (GP) scheme to simultaneously consider beam gain and complexity. Combined with the promising rate-splitting multiple access (RSMA), we further maximize the weighted sum rate (WSR). Then, an alternating optimization algorithm is proposed. Simulation shows that the proposed GP scheme based on RSMA has higher WSR and lower computational complexity than other baseline access modes.

关键词： Multibeam satellite communication grouping precoding weighted sum rate low computational complexity

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Multicast in Femtocell Networks: A Successive Interference Cancellation Approach

Multicast in Femtocell Networks: A Successive Interference C...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Hu, Donglin Mao, Shiwen Auburn Univ Dept Elect & Comp Engn Auburn AL 36849 USA

ISBN: (纸本)9781424492688

A femtocell is a small cellular base station (BS), typically used for serving approved users within a small coverage. In this paper, we investigate the problem of data multicast in femtocell networks that incorporates superposition coding (SC) and successive interference cancellation (SIC). The problem is to decide the transmission schedule for each BS, as well as the power allocation for the SC layers, to achieve a sufficiently large SNR for each layer to be decodable with SIC. The objective is to minimize the total BS power consumption. We formulate a Mixed Integer Nonlinear Programming (MINLP) problem, which is NP-hard in general. We then reformulate the problem into a simpler form, and derive upper and lower performance bounds. Finally, we consider three typical connection scenarios in the femtocell network, and develop optimal and near-optimal algorithms for the three scenarios. The proposed algorithms have low computational complexity, and outperform a heuristic scheme with considerable gains in our simulation study.

关键词： BS power consumption Bandwidth Base stations Femtocell networks Heuristic algorithms MINLP problem NP-hard problem Power demand Resource management Silicon carbide computational complexity data multicast femtocellular networks femtocellular radio heuristic programming heuristic scheme integer programming interference suppression low computational complexity lower performance bounds mixed integer nonlinear programming multicast communication near-optimal algorithms network coding nonlinear programming power allocation scheduling small cellular base station successive interference cancellation approach superposition coding transmission scheduling upper performance bounds

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low-complexity Collision Detection Scheme Using Pseudo-Coded ON-OFF Pilot Transmission Per-Packet for Wireless Sensor Networks 36

Low-Complexity Collision Detection Scheme Using Pseudo-Coded...

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36th IEEE Sarnoff Symposium

作者： Alassery, Fawaz Ahmed, Walid K. M. Sarraf, Mohsen Lawrence, Victor Stevens Inst Technol Hoboken NJ 07030 USA

ISBN: (纸本)9781467380423

Power consumption minimization in Wireless Sensor Networks (WSNs) has been discussed extensively in literature. Usually, a central node (a receiver) in WSNs consumes large amount of power due to the necessity to decode every received packet regardless of the fact that the transmission may suffer from packets collision. Current collision detection mechanisms in WSNs have largely been revolving around direct demodulation and full decoding of received packets. The obvious drawback of full decoding of a received packet is the need to expend a significant amount of energy and processing complexity in order to fully-decode a packet, only to discover the packet is illegible due to a collision. In this paper, we propose a suite of novel, yet simple and power-efficient technique to detect a collision at the receiver side of WSNs without the need for full-decoding of the received packet. Our novel approach aims at detecting collision through fast examination of the signal statistics of a short snippet of the received packet via a relatively small number of computations over a small number of received IQ samples. We also present a complexity and power-saving comparison between our novel approach and a conventional full-decoding approach (Log-MAP algorithm) to demonstrate the significant power and complexity saving advantage of our approach. In addition, we demonstrate how to tune various design parameters in order to allow a system designer multiple degrees of freedom for design trade-offs and optimization.

关键词： low computational complexity Zero-Power Pilot Transmission Collisions Detection Power Efficient Protocol

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low complexity Soft Decoding With Superposition of Hard Decision Vectors in Lattice Reduction-Aided Linear Receivers 33

Low Complexity Soft Decoding With Superposition of Hard Deci...

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33rd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Denno, Satoshi Kashihara, Koki Hou, Yafei Okayama Univ Grad Sch Nat Sci & Technol 3-1-1 Tsushima Naka Kita Okayama 7008530 Japan

ISBN: (数字)9781665480536

ISBN: (纸本)9781665480536

This paper proposes a novel approach to low complexity soft input decoding for lattice reduction-aided MIMO receivers. The proposed approach feeds a soft input decoder with soft signals made from hard decision signals generated by using a lattice reduction-aided linear detector. The soft signal is a weighted-sum of some candidate vectors that are near by the hard decision signal coming out from the lattice reduction-aided linear detector. This paper proposes a technique to adjust the weight adapt to the channel for the higher transmission performance. The transmission performance is evaluated in a 4 x 4 MIMO channel. When a serial interference canceller is used as the linear detector, the proposed technique achieves about 2.0 dB better transmission performance at the BER of 10(-5) than the decoder fed with the hard decision signals, even though the proposed soft input decoding can be implemented with small additional complexity.

关键词： Soft decision Weighted sum lattice reduction linear detectors low computational complexity

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