Direct position determination for digital modulation signals based on improved particle swarm optimization algorithm

Wan-Ting Yu; Hong-yi Yu; Jian-Ping Du; Ding Wang

doi:10.1117/12.2302662

10 April 2018 Direct position determination for digital modulation signals based on improved particle swarm optimization algorithm

Wan-Ting Yu, Hong-yi Yu, Jian-Ping Du, Ding Wang

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061554 (2018) https://doi.org/10.1117/12.2302662
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

The Direct Position Determination (DPD) algorithm has been demonstrated to achieve a better accuracy with known signal waveforms. However, the signal waveform is difficult to be completely known in the actual positioning process. To solve the problem, we proposed a DPD method for digital modulation signals based on improved particle swarm optimization algorithm. First, a DPD model is established for known modulation signals and a cost function is obtained on symbol estimation. Second, as the optimization of the cost function is a nonlinear integer optimization problem, an improved Particle Swarm Optimization (PSO) algorithm is considered for the optimal symbol search. Simulations are carried out to show the higher position accuracy of the proposed DPD method and the convergence of the fitness function under different inertia weight and population size. On the one hand, the proposed algorithm can take full advantage of the signal feature to improve the positioning accuracy. On the other hand, the improved PSO algorithm can improve the efficiency of symbol search by nearly one hundred times to achieve a global optimal solution.

Citation Download Citation

Wan-Ting Yu, Hong-yi Yu, Jian-Ping Du, and Ding Wang "Direct position determination for digital modulation signals based on improved particle swarm optimization algorithm", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061554 (10 April 2018); https://doi.org/10.1117/12.2302662

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available