A PSO-Based UWB Pulse Waveform Design Method

2012 ◽  
Vol 236-237 ◽  
pp. 901-906
Author(s):  
Zhan Biao Jia ◽  
Bin Li ◽  
Bin Xia
Keyword(s):  
Design Method ◽  
Pso Algorithm ◽  
Waveform Design ◽  
Ultra Wideband ◽  
Weighting Coefficient ◽  
Pulse Waveform ◽  
Communication Performance ◽  
Link Budget ◽  
Weighting Coefficients ◽  
Ber Performance

The pulse waveform design method for ultra wideband (UWB) communication based on particle swarm optimization (PSO) technique is discussed, and the performance of UWB system with designed pulse is analyzed. According to analysis, the design of pulse is transformed into a process of finding the minimal solution of a function about weighting coefficient. The weighting coefficients are made certain based on PSO algorithm. The properties such as bit error rate (BER) performance in both single link and multi-user, link budget of the UWB system employing the designed pulse are simulated. Compared with Scholtz’s monocycle and random combined pulse, the results showed that the pulse designed based on the PSO algorithm has better BER performance and communication performance.

A Novel UWB Pulse Waveform Design Method

2010 ◽  
Author(s):  
Seyed Noorodin Keshavarz ◽  
Saeed Hajizadeh ◽  
Mehdi Hamidi ◽  
Mahdi Gholami Omali
Keyword(s):  
Design Method ◽  
Waveform Design ◽  
Pulse Waveform

A GA-based UWB pulse waveform design method

2008 ◽  
Vol 18 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Min Wang ◽  
Shuyuan Yang ◽  
Shunjun Wu
Keyword(s):  
Design Method ◽  
Waveform Design ◽  
Pulse Waveform

Angle and polarization-independent miniaturized UWB FSS design

2021 ◽  
pp. 1-9
Author(s):  
Yanning Yuan ◽  
Yuchen Zhao ◽  
Xiaoli Xi
Keyword(s):  
Design Method ◽  
Incident Angle ◽  
Stop Band ◽  
Single Layer ◽  
Wireless Systems ◽  
Frequency Selective Surface ◽  
Ultra Wideband ◽  
Band Frequency ◽  
Gain Enhancement ◽  
Polarization Independent

Abstract A single-layer ultra-wideband (UWB) stop-band frequency selective surface (FSS) has several advantages in wireless systems, including a simple design, low debugging complexity, and an appropriate thickness. This study proposes a miniaturized UWB stop-band FSS design. The proposed FSS structure consists of a square-loop and metalized vias that are arranged on a single layer substrate; it has an excellent angle and polarization-independent characteristics. At an incident angle of 60°, the polarization response frequencies of the transverse electric and magnetic modes only shifted by 0.003 f0 and 0.007 f0, respectively. The equivalent circuit models of the square-loop and metallized vias structure are analysed and the accuracy of the calculation is evaluated by comparing the electromagnetic simulation. The 20 × 20 array constitutes an FSS reflector with a unit size of 4.2 mm × 4.2 mm (less than one-twentieth of the wavelength of 3 GHz), which realizes an UWB quasi-constant gain enhancement (in-band flatness is <0.5 dB). Finally, the simulation results were verified through sample processing and measurement; consistent results were obtained. The FSS miniaturization design method proposed in this study could be applied to the design of passband FSS (complementary structure), antennas and filters, among other applications.

Median Morphological Filter Design Based on the PSO Algorithm

2011 ◽  
Vol 128-129 ◽  
pp. 181-184
Author(s):  
You Lian Zhu ◽  
Cheng Huang
Keyword(s):  
Filter Design ◽  
Design Method ◽  
Signal To Noise Ratio ◽  
Pso Algorithm ◽  
Morphological Operations ◽  
Morphological Filter ◽  
Signal To Noise ◽  
Noise Ratio ◽  
The Cost ◽  
Filter Design Method

Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-to-noise ratio (PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise ratio (SNR) image; the noise reduction performance has obvious advantages than the other.

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