2004 IEEE Region 10 Conference TENCON 2004. 2004
DOI: 10.1109/tencon.2004.1414478
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FPGA implementation of a subspace tracker based on a recursive unitary ESPRIT algorithm

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Cited by 9 publications
(6 citation statements)
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“…Also in this case several implementations have been proposed to try to lighten the computational complexity. In [23], Boonyanant et al propose the implementation of Recursive ESPRIT on a Xilinx Virtex-II FPGA. In this implementation, similarly to [17] they make use of a linear transformation to operate only on real numbers.…”
Section: Related Workmentioning
confidence: 99%
“…Also in this case several implementations have been proposed to try to lighten the computational complexity. In [23], Boonyanant et al propose the implementation of Recursive ESPRIT on a Xilinx Virtex-II FPGA. In this implementation, similarly to [17] they make use of a linear transformation to operate only on real numbers.…”
Section: Related Workmentioning
confidence: 99%
“…The authors of [20] presented an implementation of MUSIC algorithm for two sources and 8‐element ULA. Finally, the researchers in [9] implemented ESPRIT algorithm with 4‐sensor ULA for estimating the direction of a single source. Along with previous works, Table 3 also displays performance results of our proposed design of 4 and 8 element receivers.…”
Section: Resource Utilisation and Performance Analysismentioning
confidence: 99%
“…Several papers have addressed real‐time implementation of DOA estimation using FPGAs; examples of which are Bartlett DOA algorithm [6], MUSIC algorithm [7, 8], and ESPRIT algorithm [9]. This paper, on the other hand, focuses on FPGA implementation of a recently published DOA algorithm presented in [10].…”
Section: Introductionmentioning
confidence: 99%
“…In [7], the FPGA implementation of the Multiple Signal Classification (MUSIC) algorithm is presented. Other works include DOA estimation using Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRITs) algorithm [8] and Barlett algorithm [9]. Existing works may not be suitable for next-generation networks due to the high sampling rate for digitization of the wideband spectrum and hence, non-contiguous Sub-Nyquist sampling (SNS) is preferred [11]- [13].…”
Section: Introductionmentioning
confidence: 99%