Radar Signal Parameters Estimation Using Phase Accelerogram in the Time-Frequency Domain

Abratkiewicz, Karol; Samczyński, Piotr; Czarnecki, Krzysztof

doi:10.1109/jsen.2019.2903352

Cited by 17 publications

(17 citation statements)

References 28 publications

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“…The most accurate method for the estimation of radar pulse signal parameters is the extended generalized chirp transform (EGCT), assuming that the phase of the pulse is described by the P -th order polynomial (typically P is an odd number) [39,40,41]. In fact, this method is based on the maximum-likelihood estimation process, which is slower than other known techniques, but very accurate.…”

Section: State Of the Artmentioning

confidence: 99%

“…This article presents a new approach to signal reconstruction intended for use in ELINT systems and/or in passive radar technology using other radars as a source of illumination, in which the reference signal after the parameter estimation is presented as a waveform with a variable frequency rate. The following research is based on previous experiments confirming the applicability of the CR estimation approach in radiolocation systems [41]. Due to positive results being obtained, a novel, extended version of the already described method was developed, which allows not only the estimation of the linear component in the radar pulse, but also non-linear components.…”

Section: State Of the Artmentioning

confidence: 99%

“…In Equations (15)–(17) ℜ is the real part and ℑ is the imaginary part. There are some fundamental differences between the estimators [41,45]:The K estimator is distorted by an uncertainty occurring in the middle of the energy ridge, which does not appear in the D and F estimators. This was the reason higher order derivatives of the complex phase were proposed.The K estimator assumes constant amplitude.The D and F estimators are characterized by a higher number of mathematical operations.The last major difference relates to the statistical properties of the estimators and the resistance of noise.…”

Section: Chirp Rate Estimation In the Time-frequency Domainmentioning

confidence: 99%

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A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction

Abratkiewicz

Samczyński

2019

Sensors

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This paper presents a novel approach to fast and accurate non-linear pulse signal reconstruction dedicated for electromagnetic sensors and their applications such as ELectronic INTelligence (ELINT), electronic warfare (EW), electronic reconnaissance (ER) systems, as well as for passive bistatic radar purposes in which other pulse radars are used as a source of illumination. The method is based on the instantaneous chirp rate (CR) estimation in the time-frequency (TF) domain providing a calculation of the frequency rate between every two consecutive samples. Such a new method allows for the precise reconstruction of the non-linear frequency modulated (NLFM) signal to be carried out in significantly shorter time in comparison to methods known in the literature. The presented approach was tested and validated using both simulated and real-life radar signals proving the usability of the proposed solution in practical applications. The results were compared with the precise extended generalized chirp transform (EGCT) method as a reference technique, using optimal matched filtration as the main concept.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: Chirp Rate Estimation In the Time-frequency Domainmentioning

confidence: 99%

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A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction

Abratkiewicz

Samczyński

2019

Sensors

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“…Acoustic signals were processed using this method, which can be found in References [17,20]. Radar applications utilizing this approach are presented in References [21,22,23]. In this paper, the PFSR application is proposed in order to verify the possibility af assessing the motion parameters of a target.…”

Section: Chirp Rate Estimationmentioning

confidence: 99%

“…This is an example of using the idea in PFSR applications, and each of the estimators should give similar results. The comparison of estimators as well as their limitations and computational complexity have been made in the literature [19,21]. Due to the smaller variance in comparison to the estimator K (see Section 2.2) and the lower sensitivity to noise (see Reference [21]), the authors decided to perform the tests using the estimator F; however, the estimators K and D can be used in the same way.…”

Section: Chirp Rate Estimationmentioning

confidence: 99%

Target Doppler Rate Estimation Based on the Complex Phase of STFT in Passive Forward Scattering Radar

Abratkiewicz

Krysik

Gajo

et al. 2019

Sensors

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This article presents a novel approach to the estimation of motion parameters of objects in passive forward scattering radars (PFSR). In such systems, most frequency modulated signals which are used have parameters that depend on the geometry of a radar scene and an object’s motion. Worth noting is that in bistatic (or multistatic) radars forward scattering geometry is present thus in this case only Doppler measurements are available while the range measurement is unambiguous. In this article the modulation factor, also called the Doppler rate, was determined based on the chirp rate (equivalent Doppler rate) estimation concept in the time-frequency (TF) domain. This approach utilizes the idea of the complex phase of the short-time Fourier transform (STFT) and its modification known from the literature. Mathematical dependencies were implemented and verified and the simulation results were described. The accuracy of the considered estimators were also verified using the Cramer-Rao lower bound (CRLB) to which simulated data for the considered estimators was compared. The proposed method was validated using a real-life signal collected from a radar operating in PFSR geometry. The Doppler rate provided by a car crossing the baseline between the receiver and the GSM transmitter was estimated. Finally, the concept of using CR estimation, which in the case of PFSR can be understood as Doppler rate, was confirmed on the basis of both simulated and real-life data.

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Improving the accuracy of estimates of the pulse sequence period using the methodology of complete sufficient statistics

Zhuchkov

Vasilchenko

Zagrebneva

et al. 2022

Sci Rep

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This paper is devoted to the synthesis of new signal processing algorithms based on the methodology of complete sufficient statistics and the possibility of using the Lehmann–Scheffe theorem. Using the example of a sequence of quasi-rectangular pulses, an approach to estimating their period was illustrated, taking into account the duty-off factor and the pulse squareness coefficient. A mathematical model was developed, on the basis of which, estimates of the potential accuracy of the methods were carried out. It is established that for the sample size value (n > 8), the relative root-mean-square error of estimating the repetition period using the methodology of complete sufficient statistics is lower than that of the traditional estimate. In addition to theoretical calculations, simulation results confirming the achieved effect are presented. The results obtained have a wide range of applicability and can be used in the design of control and measuring equipment in the oil and gas industry, in the development of medical equipment, in the field of telecommunications, in the design of pulse-Doppler radars, etc.

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Radar Signal Parameters Estimation Using Phase Accelerogram in the Time-Frequency Domain

Cited by 17 publications

References 28 publications

A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction

A Block Method Using the Chirp Rate Estimation for NLFM Radar Pulse Reconstruction

Target Doppler Rate Estimation Based on the Complex Phase of STFT in Passive Forward Scattering Radar

Improving the accuracy of estimates of the pulse sequence period using the methodology of complete sufficient statistics

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