A low complexity algorithm for across range unit effect correction of the moving target via range frequency polynomial-phase transform

2017 ◽  
Vol 62 ◽  
pp. 176-186 ◽  
Author(s):  
Hai Li ◽  
Di Ma ◽  
Renbiao Wu
Keyword(s):  
Low Complexity ◽  
Moving Target ◽  
Polynomial Phase ◽  
Phase Transform ◽  
Complexity Algorithm

A fast ground moving target focusing method based on first-order discrete polynomial-phase transform

2017 ◽  
Vol 60 ◽  
pp. 287-295 ◽  
Author(s):  
Zhihui Xin ◽  
Guisheng Liao ◽  
Zhiwei Yang ◽  
Penghui Huang ◽  
Jingtao Ma
Keyword(s):  
Moving Target ◽  
First Order ◽  
Polynomial Phase ◽  
Phase Transform

A Low Complexity Algorithm to Improve Data Rates in LTE MBMS Systems.

2015 ◽  
Vol 4 (1) ◽  
pp. 25-29
Author(s):  
Vidyapogula Naveen ◽  
◽  
S. Thulasi Prasad ◽  
Keyword(s):  
Low Complexity ◽  
Data Rates ◽  
Complexity Algorithm

A Low Complexity Blind Estimator of Narrowband Polynomial Phase Signals

2010 ◽  
Vol 58 (9) ◽  
pp. 4674-4683 ◽  
Author(s):  
Alon Amar ◽  
Amir Leshem ◽  
Alle-Jan van der Veen
Keyword(s):  
Low Complexity ◽  
Polynomial Phase ◽  
Polynomial Phase Signals

scholarly journals A high throughput architecture for a low complexity soft-output demapping algorithm

2015 ◽  
Vol 13 ◽  
pp. 73-80 ◽  
Author(s):  
I. Ali ◽  
U. Wasenmüller ◽  
N. Wehn
Keyword(s):  
Wireless Communication ◽  
High Throughput ◽  
Turbo Code ◽  
Low Complexity ◽  
Implementation Cost ◽  
Qam Modulation ◽  
Iterative Systems ◽  
Very High ◽  
Complexity Algorithm ◽  
Hardware Performance

Abstract. Iterative channel decoders such as Turbo-Code and LDPC decoders show exceptional performance and therefore they are a part of many wireless communication receivers nowadays. These decoders require a soft input, i.e., the logarithmic likelihood ratio (LLR) of the received bits with a typical quantization of 4 to 6 bits. For computing the LLR values from a received complex symbol, a soft demapper is employed in the receiver. The implementation cost of traditional soft-output demapping methods is relatively large in high order modulation systems, and therefore low complexity demapping algorithms are indispensable in low power receivers. In the presence of multiple wireless communication standards where each standard defines multiple modulation schemes, there is a need to have an efficient demapper architecture covering all the flexibility requirements of these standards. Another challenge associated with hardware implementation of the demapper is to achieve a very high throughput in double iterative systems, for instance, MIMO and Code-Aided Synchronization. In this paper, we present a comprehensive communication and hardware performance evaluation of low complexity soft-output demapping algorithms to select the best algorithm for implementation. The main goal of this work is to design a high throughput, flexible, and area efficient architecture. We describe architectures to execute the investigated algorithms. We implement these architectures on a FPGA device to evaluate their hardware performance. The work has resulted in a hardware architecture based on the figured out best low complexity algorithm delivering a high throughput of 166 Msymbols/second for Gray mapped 16-QAM modulation on Virtex-5. This efficient architecture occupies only 127 slice registers, 248 slice LUTs and 2 DSP48Es.

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