2014
DOI: 10.12988/ces.2014.410196
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Frequency estimation for short realization of radar signals I. The new algorithm presentation

Abstract: The paper is devoted to the problem of short time delays measurement in radar systems. The algorithm which was proposed by authors in paper I [1] it compared with the generally used method based on fast Fourier transform. In numerical simulation estimation of random error are carried out depend on value of delay and value of signal to noise ratio. 1784Mikhail Ronkin et al.

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Cited by 2 publications
(3 citation statements)
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“…The first part of paper proposed new algorithm for measurement of short time delays for linearly frequency modulated signals. That actual for many short range radar and ultrasonic measurements with linear frequency modulated (chirp) signals [1]. The principle of designed algorithm involves heterodyne processing of received chirp signal; quadrature decomposition of obtained beating signal.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The first part of paper proposed new algorithm for measurement of short time delays for linearly frequency modulated signals. That actual for many short range radar and ultrasonic measurements with linear frequency modulated (chirp) signals [1]. The principle of designed algorithm involves heterodyne processing of received chirp signal; quadrature decomposition of obtained beating signal.…”
Section: Introductionmentioning
confidence: 99%
“…Frequency of beating signal has been estimated by computation the slope angel of obtained relation. The time of delay computed from the relation with the estimated frequency [1]. It was noted in paper I [1] that Fast Fourier Transform (FFT) based methods are commonly used for frequency estimation.…”
Section: Introductionmentioning
confidence: 99%
“…The time of delay computed from the relation with the estimated frequency [1]. It was noted in paper I [1] that Fast Fourier Transform (FFT) based methods are commonly used for frequency estimation. However those algorithms require at least 2-3 period of processed signal [2].…”
Section: Introductionmentioning
confidence: 99%