NDLI: Joint frequency and two-dimensional direction of arrival estimation for Electronic Support systems based on sub-Nyquist sampling

Content Provider	IET Digital Library
Author	Ramezani, Esmaeil Sabahi, Mohamad Farzan Saberali, Seyyed Mohammad
Abstract	The electronic support (ES) receivers require wide instantaneous bandwidth as a result of a wide-frequency range of modern radar signals. Thus, analogue-to-digital converters (ADCs) with high sampling rates are required for digital ES receivers. One of the bottlenecks in designing such systems is the high power consumption of the back-end ADCs at high sampling rates. In this study, a system-level approach with the goal of minimising the required digitisation rate is presented by exploiting compressive sampling. Using the proposed receiver structure, the location finding of pulsed radars in wideband scenarios is studied. To fulfil the need for frequency and position finding, the proposed receiver employs a three-dimensional antenna array, followed by radio-frequency back-end and ADC blocks, inspired by the modulated wideband converter technique. Furthermore, an algorithm based on Bayesian compressed sensing, incorporating off-grid techniques, is employed to jointly estimate the azimuth and the elevation angles of incoming signals, as well as their carrier frequencies. Simulation results are provided to support the theoretical results obtained in this study. The results show that the proposed off-grid Bayesian method has a significantly lower mean square estimation error than the conventional deterministic approaches, while its average computation complexity can be reduced in multi-snapshot scenarios.
Starting Page	889
Ending Page	899
Page Count	11
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 8, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0477
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-04-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A/D And D/A Convertor ADC Blocks Analogue-Digital Conversion Analogue-to-digital Converter Antenna Array Back-end ADC Bayes Method Bayesian Compressed Sensing Compressed Sensing Compressive Sampling Computation Complexity Digital ES Receivers Direction of Arrival Estimation Electromagnetic Compatibility Electronic Support Receiver Electronic Warfare Electronic Warfare Nomenclature ES System Frequency Finding High Sampling Rates Interference Interpolation And Function Approximation Joint Azimuth Estimation Joint Elevation Angles Estimation Joint Frequency Location Finding Mean Square Error Method Mean Square Estimation Error Modern Radar Signal Modulated Wideband Converter Technique Multisnapshot Scenario Numerical Analysis Off-grid Bayesian Method Off-grid Technique Position Finding Pulsed Radars Radar Antenna Radar Equipment Radar Receiver Radar Signal Processing Radio Navigation And Direction Finding Radionavigation Required Digitisation Rate Minimisation Signal Processing And Detection Signal Sampling Statistics SubNyquist Sampling System And Application System-level Approach Three-dimensional Antenna Array Two-dimensional Direction-of-arrival Estimation Wide Instantaneous Bandwidth Wide-frequency Range
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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