Low Complexity Systolic Array Structure for Extended QRD-RLS Equalizer

2012 ◽  
Vol E95.A (12) ◽  
pp. 2407-2414
Author(s):  
Ji-Hye SHIN ◽  
Young-Beom JANG
Keyword(s):  
Systolic Array ◽  
Low Complexity ◽  
Array Structure

A design of Reed-Solomon decoder with systolic-array structure

1995 ◽  
Vol 44 (1) ◽  
pp. 118-122 ◽  
Author(s):  
K. Iwamura ◽  
Y. Dohi ◽  
H. Imai
Keyword(s):  
Systolic Array ◽  
Array Structure

2-D Near Field Source Localization by Evolutionary Technique Exploiting the L-Type Geometry of Sensor Array

2017 ◽  
Vol 2 (3) ◽  
pp. 11-16
Author(s):  
Yawar Ali Sheikh ◽  
Zhongfu Ye ◽  
Kashif Shabir ◽  
Tarek Hasan Al Mahmud ◽  
Rizwan Ullah
Keyword(s):  
Near Field ◽  
Doa Estimation ◽  
Low Complexity ◽  
Joint Estimation ◽  
Field Source ◽  
Fitness Evaluation ◽  
Estimated Parameters ◽  
Planar Arrays ◽  
Evolutionary Technique ◽  
Array Structure

The efficiency of two dimensional (2-D) Direction of Arrival (DOA) estimation relies on the geometry of array. Among many array geometries, L-type array structure is becoming more popular among researchers because it can be decoupled into two uniform linear arrays (ULAs) and require less number of array elements as compared to other planar arrays. This paper propose a novel, fast and low complexity method for joint estimation of range and 2-D DOAs (elevation and azimuth) of near field sources. The main focus of this paper is to present the efficacy of performance and ease in implementation of L-type array structure when it is integrated with Differential Evolution (DE), a global evolutionary optimizer. To avoid the pair matching of estimated parameters, mean square error is used as fitness evaluation function as it only requires a single snapshot of array output to achieve optimal convergence. The robustness of proposed method is tested by a large number of computer simulations and statistical performance analysis is compared with other techniques.

Single-flux-quantum integer multiplier with systolic array structure

2006 ◽  
Vol 445-448 ◽  
pp. 1014-1019 ◽  
Author(s):  
K. Obata ◽  
M. Tanaka ◽  
Y. Tashiro ◽  
Y. Kamiya ◽  
N. Irie ◽  
...  
Keyword(s):  
Systolic Array ◽  
Flux Quantum ◽  
Quantum Integer ◽  
Array Structure

scholarly journals Efficient parallel semi-systolic array structure for multiplication and squaring in GF(2m)

2019 ◽  
Vol 16 (12) ◽  
pp. 20190268-20190268
Author(s):  
Atef Ibrahim ◽  
Usman Tariq ◽  
Tariq Ahmad ◽  
Ahmed Elmogy ◽  
Yassine Bouteraa ◽  
...  
Keyword(s):  
Systolic Array ◽  
Array Structure

SPHERICAL SUBSPACE TRACKING ON SYSTOLIC ARRAYS

1995 ◽  
Vol 06 (02) ◽  
pp. 395-418 ◽  
Author(s):  
ZUQIANG FU ◽  
ERIC M. DOWLING ◽  
RONALD D. DeGROAT
Keyword(s):  
High Resolution ◽  
Systolic Array ◽  
Adaptive Algorithm ◽  
High Speed ◽  
Low Complexity ◽  
Systolic Arrays ◽  
Time Varying ◽  
Subspace Tracking ◽  
C Language ◽  
Pipelined Architectures

The spherical subspace tracker is a low complexity adaptive algorithm that converges to the dominant (or subdominant) subspace. Spherical subspace updating is a fast way to monitor slowly time-varying subspaces, which arise in high resolution direction of arrival tracking algorithms. In real time sonar and radar array processing applications, it becomes necessary to find parallel algorithms and pipelined architectures that provide high speed solutions to these tracking problems. In this paper the spherical subspace tracker is parallelized and mapped onto systolic array architectures. The arrays are ideally suited for implementation with custom VLSI or networks of available parallel numeric processing chips such as iWarps and TMS320C40s. C-language like cell programs specify the functionality and timing of the systolic array in concrete terms.

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