Paper Info
Title
Spectrum Blind Reconstruction And Direction Of Arrival Estimation At Sub-Nyquist Sampling Rates With Uniform Linear Array
Abstract
This paper considers the problem of sparse spectrum blind reconstruction and its constituent narrow band (bandwidth not exceeding B Hz) source direction of arrival (DOA) estimation, at sub-Nyquist sampling rates and with an M element uniform linear array. We propose a modification to the receiver architecture by adding an M channel delay network to only the first sensor element. This delay network in practice can simply be realized by cascading M identical delays. Further, a novel ESPRIT based algorithm, by making use of new transformation matrices, which automatically pairs the carrier frequencies along with their corresponding DOAs is presented. We show that with the proposed approach, an ADC sampling frequency of f(s) >= B Hz is sufficient and upto M - 2 source DOAs and their corresponding spectrum can be reconstructed even if all the frequencies exactly alias to the same frequency.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)
Direction-of-arrival, sub-Nyquist sampling, Spectrum blind reconstruction, ESPRIT
Field
DocType
Citations 
Direction of arrival,Sampling (signal processing),Artificial intelligence,Nyquist–Shannon sampling theorem,Transformation matrix,Computer vision,Alias,Algorithm,Communication channel,Bandwidth (signal processing),Sampling (statistics),Statistics,Mathematics
Conference
5
PageRank 
References 
Authors
0.45
11
3
Name
Order
Citations
PageRank
Achanna Anil Kumar1245.39
Sirajudeen Gulam Razul29614.41
Chong Meng Samson See317519.41