A multi-band multi-beam software-defined passive radar. Part I: System design

Jamil, Khalid; Alam, M. Shahria; Hadi, Muhammad Abdul; Alhekail, Zeyad

doi:10.1049/cp.2012.1580

Cited by 17 publications

(9 citation statements)

References 8 publications

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“…In Saudi Arabia, the design and development of multi-band multi-beam software defined passive bistatic radar were demonstrated. This system could operate at any carrier frequency, bandwidth and signals over a large frequency spectrum up to 6 GHz, with transmitters of opportunity at spatially-diverse locations [22]. In India, an attempt was made to explore the means to use a SDR to implement a basic radar system and then synthetic aperture radar [4].…”

Section: Other Countiesmentioning

confidence: 99%

Modern Software Defined Radar (SDR) Technology and Its Trends

Kwag¹,

Jung²,

Woo³

et al. 2014

Journal of electromagnetic engineering and science

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Software defined radar (SDR) is a multi-purpose radar system where most of the hardware processing is performed by software. This paper introduces a concept and technology trends of software defined radar, and addresses the advantages and limitations of the current SDR radar systems. For the advanced SDR concept, the KAU SDR Model (KSM) is presented for the multimode and multiband radar system operating in S-, X-, and K-bands. This SDR consists of a replaceable multiband antenna and RF hardware, common digital processor module with multimode, and open software platform based on MATLAB and LabVIEW. The new concept of the SDR radar can be useful in various applications of the education, traffic monitoring and safety, security, and surveillance depending on the various radar environments. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ⓒ

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Section: Other Countiesmentioning

confidence: 99%

Modern Software Defined Radar (SDR) Technology and Its Trends

Kwag¹,

Jung²,

Woo³

et al. 2014

Journal of electromagnetic engineering and science

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“…• First, the eight channel data signal received from the circular antenna array is pre-processed in order to remove the mutual coupling effects and apply the phase and amplitude correction [19].…”

Section: Stap Processingmentioning

confidence: 99%

“…A more sophisticated multi-channel multi-frequency digital receiver system is developed using an array of antennas [19]. This type of advance system gives additional capabilities like digital beamforming and advance adaptive filtering for target detection and clutter rejection [9,19,20].…”

Section: Introductionmentioning

confidence: 99%

“…This type of advance system gives additional capabilities like digital beamforming and advance adaptive filtering for target detection and clutter rejection [9,19,20]. One of the candidate adaptive algorithm for this kind of radar processing is joint space-time adaptive processing (STAP).…”

Section: Introductionmentioning

confidence: 99%

“…One such system and algorithm is presented in [8,9], which uses a receiver setup of two antenna system to capture the signal of interests. Further research was conducted in an attempt to develop a more advanced receiver setup like ULA [1,2] and UCA [6,19,20]. There is no notable research available on the FPGA implementation of STAP algorithm for PBR case while using UCA for effective target detection and tracking.…”

Section: Introductionmentioning

confidence: 99%

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Fpga Implementation of Space-Time Adaptive Processing (Stap) Algorithm for Target Detection in Passive Radars

Mahmood

Alam²,

Jamil³

et al. 2013

PIER C

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Abstract-Space-Time Adaptive Processing (STAP) algorithm has recently been used in Passive Bi-static Radars (PBR) because it removes the clutter and non-cooperative transmitter effectively making the target detection easy in harsh environments like air-ground. Realtime implementation of STAP is a very challenging task as it is computationally-intensive, time-critical and resource-hungry process. This paper focuses on the Field-Programmable Gate Array (FPGA) implementation of STAP algorithm for passive radar using FM radio as transmitter of opportunity. The signals of interest were collected using an eight-channel software-defined radar with a uniform circular array (UCA). The STAP processing was simulated using MATLAB and hardware implementation was carried out on a Xilinx Virtex-6 FPGA. The system is tested using experimental radar data. Timing and Power analysis of hardware implementation justifies that FPGA provides a fast and reliable platform for STAP real-time radar processing.

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