Azimuth ambiguity suppression in SAR images using Doppler-sensitive signals

Lesnik, Czeslaw; Serafin, Piotr; Kawalec, A.

doi:10.1515/bpasts-2015-0026

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…This is strictly connected with the platform velocity, the wavelength used and the width of the main lobe of the antenna system. If the criterion is not satisfied, the aliasing phenomenon occurs and false objects appear in the image [12].…”

Section: Model Of Fmcw Signalmentioning

confidence: 99%

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

Okoń-Fąfara¹,

Serafin²,

Kawalec³

2016

International Journal of Electronics and Telecommunications

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Section: Model Of Fmcw Signalmentioning

confidence: 99%

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

Okoń-Fąfara¹,

Serafin²,

Kawalec³

2016

International Journal of Electronics and Telecommunications

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“…However, this method requires the use of a broadband control channel and may only be used during daylight and in good visibility conditions. Under night conditions and in poor visibility, a thermal imaging camera [6,[23][24][25] or synthetic aperture radar (SAR) [26][27][28] may be used. Furthermore, long distance wireless communications are characterized by significant delays and, in the case of the hard-to-reach areas, only satellite communications [29] can be used.…”

Section: Introductionmentioning

confidence: 99%

Doppler Effect-Based Automatic Landing Procedure for UAV in Difficult Access Environments

Kelner

Ziółkowski

2017

Journal of Advanced Transportation

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Currently, almost unrestricted access to low-lying areas of airspace creates an opportunity to use unmanned aerial vehicles (UAVs), especially those capable of vertical take-off and landing (VTOL), in transport services. UAVs become increasingly popular for transporting postal items over small, medium, and large distances. It is forecasted that, in the near future, VTOL UAVs with a high take-off weight will also deliver goods to very distant and hard-to-reach locations. Therefore, UAV navigation plays a very important role in the process of carrying out transport services. At present, during the flight phase, drones make use of the integrated global navigation satellite system (GNSS) and the inertial navigation system (INS). However, the inaccuracy of GNSS + INS makes it unsuitable for landing and take-off, necessitating the guidance of a human UAV operator during those phases. Available navigation systems do not provide sufficiently high positioning accuracy for an UAV. For this reason, full automation of the landing approach is not possible. This paper puts forward a proposal to solve this problem. The authors show the structure of an autonomous system and a Doppler-based navigation procedure that allows for automatic landing approaches. An accuracy evaluation of the developed solution for VTOL is made on the basis of simulation studies.

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“…In [1] and [2] authors present methods of the automatic modulation classification (AMC) for an electronic intelligence (ELINT) purposes. One of the possible application of a radar signal waveform is modified nonlinear frequency modulation (NLFM) presented in [3] or waveforms used for synthetic aperture radar (SAR) techniques discussed in [4,5]. Then in [6,7] AMC methods for wireless communication systems are proposed.…”

Section: Introductionmentioning

confidence: 99%

Type of modulation identification using Wavelet Transform and Neural Network

Walenczykowska¹,

Kawalec²

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Automatic recognition of the signal modulation type turned out to be useful in many areas, including electronic warfare or surveillance. The wavelet transform is an effective way to extract signal features for identification purposes. In this paper there are M-ary ASK, M-ary PSK, M-ary FSK, M-ary QAM, OOK and MSK signals analysed. The mean value, variance and central moments up to five of continuous wavelet transform (CWT) are used as signal features. The principal component analysis (PCA) is applied to reduce a number of features. A multi-layer neural network trained with backpropagation learning algorithm is considered as a classifier. There are two research variants: interclass and intraclass recognition with a wide range of signal-to-noise ratio (SNR).

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Azimuth ambiguity suppression in SAR images using Doppler-sensitive signals

Cited by 7 publications

References 10 publications

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

An analysis of Chosen Image Formation Algorithms for Synthetic Aperture Radar with FMCW

Doppler Effect-Based Automatic Landing Procedure for UAV in Difficult Access Environments

Type of modulation identification using Wavelet Transform and Neural Network

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