Low-Complexity Soft-ML Detection Algorithm for Modified-DCM in WiMedia UWB Systems

2013 ◽  
Vol E96.B (3) ◽  
pp. 910-913 ◽  
Author(s):  
Kilhwan KIM ◽  
Jangyong PARK ◽  
Jihun KOO ◽  
Yongsuk KIM ◽  
Jaeseok KIM
Keyword(s):  
Low Complexity ◽  
Detection Algorithm ◽  
Ml Detection

An Improved MIMO-OFDM Detection Algorithm Based on OSIC

2014 ◽  
Vol 696 ◽  
pp. 201-206
Author(s):  
Da Jiang Yang ◽  
Zi Fa Zhong
Keyword(s):  
Signal Detection ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Detection Performance ◽  
Optimal Detection ◽  
Ofdm Signal ◽  
Mimo Ofdm ◽  
Ml Detection ◽  
Improved Algorithm

This paper proposes a MIMO-OFDM signal detection algorithm with joint ML and MMSE-OSIC based on researches of ML algorithm and MMSE-OSIC algorithm. This kind of algorithm is an improved algorithm of MMSE-OSIC. Comparing to the traditional MMSE-OSIC algorithm, this algorithm uses ML detection on the relatively weaker signal layer. According to the experiment, it was found close to the optimal detection performance, much less complicated than the ML algorithm, which is a near-optimal and low-complexity MIMO-OFDM detection algorithm.

A Single Symbol Maximum-Likehood Decoder for Four Transimit Antenna QOSTBC

2013 ◽  
Vol 427-429 ◽  
pp. 1502-1505
Author(s):  
Nai Qian Zhang ◽  
Li Biao Jin ◽  
Guo Cheng Wu ◽  
Jie Cong Lin
Keyword(s):  
Block Code ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Modulation Scheme ◽  
Time Block ◽  
Orthogonal Space ◽  
Symbol Detection ◽  
Single Complex ◽  
High Level ◽  
Ml Detection

This letter proposes a very low-complexity maximum likelihood (ML) detection algorithm for the quasi-orthogonal space-time block code (QOSTBC) with four transmits antennas. The low-complexity single-complex-symbol detection is based on QR decomposition and the expansion of equalization via a diagonal matrix transformation. The proposed strategy enables the QOSTBC to achieve ML performance with significant reduction in computational load for any high-level modulation scheme.

A New Low-Complexity Near-ML Detection Algorithm for Spatial Modulation

2013 ◽  
Vol 2 (1) ◽  
pp. 90-93 ◽  
Author(s):  
Qian Tang ◽  
Yue Xiao ◽  
Ping Yang ◽  
Qiaoling Yu ◽  
Shaoqian Li
Keyword(s):  
Low Complexity ◽  
Detection Algorithm ◽  
Spatial Modulation ◽  
Ml Detection

scholarly journals Low Complexity Lane Detection Methods for Light Photometry System

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1665
Author(s):  
Jakub Suder ◽  
Kacper Podbucki ◽  
Tomasz Marciniak ◽  
Adam Dąbrowski
Keyword(s):  
Edge Detection ◽  
Optimal Path ◽  
Color Space ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Lane Detection ◽  
Detection Methods ◽  
Raspberry Pi ◽  
Line Detection ◽  
Hsv Color Space

The aim of the paper was to analyze effective solutions for accurate lane detection on the roads. We focused on effective detection of airport runways and taxiways in order to drive a light-measurement trailer correctly. Three techniques for video-based line extracting were used for specific detection of environment conditions: (i) line detection using edge detection, Scharr mask and Hough transform, (ii) finding the optimal path using the hyperbola fitting line detection algorithm based on edge detection and (iii) detection of horizontal markings using image segmentation in the HSV color space. The developed solutions were tuned and tested with the use of embedded devices such as Raspberry Pi 4B or NVIDIA Jetson Nano.

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