scholarly journals A Novel Blind Source Separation Algorithm and Performance Analysis of Weak Signal against Strong Interference in Passive Radar Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Chengjie Li ◽  
Lidong Zhu ◽  
Anhong Xie ◽  
Zhongqiang Luo

In Passive Radar System, obtaining the mixed weak object signal against the super power signal (jamming) is still a challenging task. In this paper, a novel framework based on Passive Radar System is designed for weak object signal separation. Firstly, we propose an Interference Cancellation algorithm (IC-algorithm) to extract the mixed weak object signals from the strong jamming. Then, an improved FastICA algorithm withK-means cluster is designed to separate each weak signal from the mixed weak object signals. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Tamás Pető ◽  
Rudolf Seller

A critical issue in the realization of passive radar systems is the effective suppression of the zero Doppler interference (ZDI). The performance of the clutter cancellation relies much on the used algorithms. Several state-of-the-art approaches consist in the independent use of spatial and temporal algorithms for ZDI suppression. In this paper, a novel interference cancellation algorithm is proposed, which jointly exploits the available information from both space and time domains. We call this novel method Space-Time Adaptive Cancellation (STAC), and it differs from previous schemes included among the tools of Space-Time Adaptive Processing (STAP). The STAC algorithm is able to cancel out the high power direct and multipath signals on all the surveillance antenna channels prior to the beamforming and other space domain processing methods. The proposed preprocessing technique facilitates the detection of targets even in the direction of the illuminator or large static scatterers. Moreover, the interference rejection capability is also enhanced in the space domain. The performance of the presented algorithm is verified through simulations and field measurements. The experiments show improvement over the currently available filtering techniques.


Author(s):  
YONATAN EDWIN MARPAUNG ◽  
ALOYSIUS ADYA PRAMUDITA ◽  
ERFANSYAH ALI

ABSTRAKRadar pasif adalah salah satu jenis sistem radar bistatic dimana transmitter dan receiver berada di tempat berbeda. Sistem radar pasif dapat memaanfaatkan frekuensi siaran televisi yang tersedia sebagai sumber transmitter. Pada penelitian ini, radar pasif dibuat dengan Sofware Defined Radio (SDR) sebagai sistem komunikasi yang dapat mengkofigurasi penerima televisi digital sdr-dongle RTL2832U yang dimodifikasi dan perangkat lunak GNU Radio. Hasil pengujian delay pada gelombang 1,2,3 untuk objek manusia adalah 0,192, 0,36 dan 0,53 detik, untuk objek sepeda adalah 0,332, 0,5 dan 0,67, untuk objek motor adalah 0,422, 0,69 dan 0,86 detik, untuk objek mobil adalah 0,538, 0,7 dan 0,87 detik sehingga dapat disimpulkan bahwa sistem radar pasif yang dirancang dapat mendeteksi benda bergerak dimana pegerakan target menyebabkan pergeseran puncak Cross-Correlation.Kata kunci: Radar Pasif, Cross-Correlation, SDR, Frekuensi Televisi, RTL2832U ABSTRACTPassive radar is a type of bistatic radar system where the transmitter and receiver are in different places. Passive radar systems can utilize the available television broadcast frequencies as transmitter sources. In this study, passive radar is made with Software Defined Radio (SDR) as a communication system that can configure a modified RTL2832U sdr-dongle digital television receiver and GNU Radio software. The delay test results on waves 1,2,3 for human objects are 0.192, 0.36 and 0.53 seconds, for bicycle objects are 0.332, 0.5 and 0.67, for motor objects are 0.422, 0.69 and 0.86 seconds, for car objects are 0.538, 0.7 and 0.87 seconds so it can be concluded that the passive radar system is designed to detect moving objects where moving targets causes a shift in the peak of Cross-Correlation.Keywords: Passive Radar, Cross-Correlation, SDR, Television Frequency, RTL2832U


TAPPI Journal ◽  
2012 ◽  
Vol 11 (10) ◽  
pp. 9-17
Author(s):  
ALESSANDRA GERLI ◽  
LEENDERT C. EIGENBROOD

A novel method was developed for the determination of linting propensity of paper based on printing with an IGT printability tester and image analysis of the printed strips. On average, the total fraction of the surface removed as lint during printing is 0.01%-0.1%. This value is lower than those reported in most laboratory printing tests, and more representative of commercial offset printing applications. Newsprint paper produced on a roll/blade former machine was evaluated for linting propensity using the novel method and also printed on a commercial coldset offset press. Laboratory and commercial printing results matched well, showing that linting was higher for the bottom side of paper than for the top side, and that linting could be reduced on both sides by application of a dry-strength additive. In a second case study, varying wet-end conditions were used on a hybrid former machine to produce four paper reels, with the goal of matching the low linting propensity of the paper produced on a machine with gap former configuration. We found that the retention program, by improving fiber fines retention, substantially reduced the linting propensity of the paper produced on the hybrid former machine. The papers were also printed on a commercial coldset offset press. An excellent correlation was found between the total lint area removed from the bottom side of the paper samples during laboratory printing and lint collected on halftone areas of the first upper printing unit after 45000 copies. Finally, the method was applied to determine the linting propensity of highly filled supercalendered paper produced on a hybrid former machine. In this case, the linting propensity of the bottom side of paper correlated with its ash content.


2020 ◽  
Vol 79 (10) ◽  
pp. 829-845
Author(s):  
V. I. Lutsenko ◽  
I. V. Lutsenko ◽  
A. V. Sobolyak ◽  
I. V. Popov ◽  
N. X. Ahn ◽  
...  
Keyword(s):  

2014 ◽  
Vol 35 (1) ◽  
pp. 36-40 ◽  
Author(s):  
Ge-ge Zhang ◽  
Jun Wang ◽  
Yu-chun Liu
Keyword(s):  

Author(s):  
V.I. Lutsenko ◽  
I.V. Lutsenko ◽  
A.V. Soboliak ◽  
I.V. Popov ◽  
Nguyen Xuan Anh ◽  
...  

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