scholarly journals Compressed Sensing-Based Range-Doppler Processing Method for Passive Radar

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xia Bai ◽  
Hejing Guo ◽  
Juan Zhao ◽  
Tao Shan
Keyword(s):  
Compressed Sensing ◽  
Cross Correlation ◽  
Processing Method ◽  
Sparse Reconstruction ◽  
Digital Television ◽  
Experimental Measurements ◽  
Passive Radar ◽  
Computational Burden ◽  
Chinese Standard ◽  
Classical Cross

Passive radar (PR) systems use the existing transmitters of opportunity in the environment to perform tasks such as detection, tracking, and imaging. The classical cross-correlation based methods to obtain the range-Doppler map have the problems of high sidelobe and limited resolution due to the influence of signal bandwidth. In this paper, we propose a novel range-Doppler processing method based on compressed sensing (CS), which performs sparse reconstruction in range and Doppler dimensions to achieve high resolution and reduces sidelobe without excessive computational burden. Results from numerical simulations and experimental measurements recorded with the Chinese standard digital television terrestrial broadcasting (DTTB) based PR show that the proposed method successfully handles the range-Doppler map formatting problem for PR and outperforms the existing CS-based PR processing methods.

scholarly journals Deteksi Radar Pasif menggunakan GNU Radio dan SDR pada Frekuensi Televisi

2020 ◽  
Vol 8 (3) ◽  
pp. 505
Author(s):  
YONATAN EDWIN MARPAUNG ◽  
ALOYSIUS ADYA PRAMUDITA ◽  
ERFANSYAH ALI
Keyword(s):  
Software Defined Radio ◽  
Cross Correlation ◽  
Moving Objects ◽  
Radar System ◽  
Digital Television ◽  
Passive Radar ◽  
Gnu Radio ◽  
Delay Test ◽  
Radar Systems ◽  
Television Receiver

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

Coherent Passive Backscatter Communications Using Ambient Transmitters

2014 ◽  
Vol 5 (2) ◽  
pp. 23-43
Author(s):  
William C. Barott ◽  
Kevin M. Scott
Keyword(s):  
Radio Frequency ◽  
Low Complexity ◽  
Data Rate ◽  
Experimental Results ◽  
Digital Television ◽  
Passive Radar ◽  
Detection Range ◽  
Backscatter Modulation ◽  
Radio Frequency Signals ◽  
Processing Algorithms

A communications method is presented based on the backscatter modulation of incident radio frequency signals using low-complexity tags. The incident signals arise from digital television stations used as illuminators of opportunity. A receiver detects the tag using coherent processing algorithms similar to those used in passive radar, extending the detection range over published noncoherent techniques. This method enables shared use of the UHF television band for low-data-rate applications. While analyses suggest that rates exceeding 1 kbps might be achievable at 1 km range, experimental results demonstrate the challenges in designing and implementing such a system.

scholarly journals Sparse reconstruction with multiple Walsh matrices

2019 ◽  
Vol 10 (3) ◽  
pp. 221-239
Author(s):  
Enrico Au-Yeung
Keyword(s):  
Compressed Sensing ◽  
Dimensionality Reduction ◽  
Vector Space ◽  
Sparse Reconstruction ◽  
Dimensional Vector ◽  
Dimensional Vector Space ◽  
Computational Harmonic Analysis ◽  
Sparse Vector ◽  
Class Of Matrices ◽  
Lower Dimensional

Abstract The problem of how to find a sparse representation of a signal is an important one in applied and computational harmonic analysis. It is closely related to the problem of how to reconstruct a sparse vector from its projection in a much lower-dimensional vector space. This is the setting of compressed sensing, where the projection is given by a matrix with many more columns than rows. We introduce a class of random matrices that can be used to reconstruct sparse vectors in this paradigm. These matrices satisfy the restricted isometry property with overwhelming probability. We also discuss an application in dimensionality reduction where we initially discovered this class of matrices.

Study of Single Pixel Evaluation for Experimental Measurements in a Microchannel

2006 ◽  
Author(s):  
Han-Sheng Chuang ◽  
Steve T. Wereley ◽  
Lichuan Gui
Keyword(s):  
Image Quality ◽  
Cross Correlation ◽  
Particle Image ◽  
Signal To Noise Ratio ◽  
Experimental Measurements ◽  
Flow Profile ◽  
Particle Image Diameter ◽  
Micro Piv ◽  
Parabolic Flow ◽  
Single Pixel

A newly proposed algorithm named single pixel evaluation (SPE) has been developed to increase the resolution of micro-PIV to its physical limit of one pixel. Despite the SPE is able to improve the resolution significantly in comparison with conventional cross-correlation, some phenomenon are still unknown due to its infancy, resulting in discrepancies between the analytic predictions and the experimental measurements. To provide reliable rules as applying the SPE, an overall inspection of the algorithm's behaviors is essential. This paper investigated five general factors, determining their performances via synthetic particle images subjected to a parabolic flow profile. The factors include particle image quality, particle image density, search radius (SR), particle image displacement, and particle image diameter. The results indicate that the particle image quality behaves the most significantly among the factors. Moreover, the SPE was also compared with the fast Fourier transform based cross-correlation (FFT-CC) under the equivalent signal-to-noise ratio (SNR). The tendencies of optimal values with respect to different factors are revealed in the following text. To complete the study, experiments on a straight microchannel were implemented to verify the observations from the simulations. The measured images which followed the suggested rules show better results than the other ones.

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