scholarly journals SOME METHODS OF CREATING SIGNS OF RADAR TARGETS THAT CAN BE USED TO DESIGN TRAINING TARGETS

InterConf ◽  
2021 ◽  
pp. 1022-1030
Author(s):  
Evgen Ryabokon ◽  
Oleg Batourin ◽  
Oleksandr Porokhonchuk ◽  
Andrii Shulezhko ◽  
Ihor Hurin ◽  
...  
Keyword(s):  
Antenna Array ◽  
Radar Signal ◽  
Signal Parameters ◽  
Centimeter Wave ◽  
Radar Targets

Proposals for developing of radar training targets in decimeter and centimeter wave ranges in conditions of a previous uncertainty of radar signal parameters is developed. It based on the results of analysis and comparison of simple artificial reflectors and retrodirective antenna array characteristics. Targets for single-position radars are considered.

RADAR Signal Parameters Estimation in the MTD Tasks

2012 ◽  
Vol 58 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Igor Prokopenko ◽  
Igor Omelchuk ◽  
Yury Chyrka
Keyword(s):  
Iterative Algorithms ◽  
Parameters Estimation ◽  
Radar Signal ◽  
Moving Targets ◽  
Target Speed ◽  
Pulse Pair ◽  
Signal Parameters ◽  
Reflected Signal

RADAR Signal Parameters Estimation in the MTD Tasks The MTD method adaptive to current target speed, in which suboptimal iterative algorithms for the reflected signal parameters estimation are synthesized, is suggested. This method allows to detect a slowly moving targets with radial speed 3-4 times less, than for pulse-pair subtraction (PPS).

Study of the characteristics of a radio photon device for determining the phase difference of a radar signals

2021 ◽  
pp. 38-42
Author(s):  
Yaroslav N. Gusenitsa ◽  
Aleksandr L. Snegirev ◽  
Sergey A. Pokotilo
Keyword(s):  
Antenna Array ◽  
Phase Difference ◽  
Antenna Arrays ◽  
Output Signal ◽  
Experimental Studies ◽  
Radar Signal ◽  
Optical Modulator ◽  
Optical Modulators ◽  
Phased Antenna Arrays ◽  
Phased Antenna Array

The paper considers the problem of accurate calculation of the phase of the radar signal in relation to the receiving phased antenna arrays. Methods for determining the phase difference based on a comparison of the received signal with the local oscillator signal are listed, as well as a method based on the use of a radio-photon analog-to-digital converter for the output signal of the receiving phased antenna array. Their disadvantages are indicated. A method and a radio photon device are proposed that are devoid of these disadvantages. The method allows you to calculate the phase difference of the radar signal at the output of the electro-optical modulator and the output signal of the photodetector, taking into account the known values of the amplitudes and phase difference of the microwave signals at the input of the receiving elements of the phased antenna array. The radio-photon device allows you to implement this method and, unlike the known analogues, is based on the use of two parallel-connected electro-optical modulators constructed according to the scheme of the Mach-Zehnder interferometer. It is shown that the proposed radio photon device provides a higher accuracy of determining the phase of the radar signal in comparison with existing analogues. At the end of the work, an analysis of the results of experimental studies using the proposed method and a radio photon device is presented. According to the results of the experiment, it was found that the phase and phase differences vary linearly, and their maximum reaches π. In addition, the square of the amplitude of the optical signal at the input of the photon-electronic unit is proportional to the phase difference and inversely proportional to the ratio of the amplitudes of the output signals of the adjacent receiving elements of the phased antenna arrays.

The application of high-resolution methods for DOA estimation using a linear antenna array

2014 ◽  
Vol 7 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Lotfi Osman ◽  
Imen Sfar ◽  
Ali Gharsallah
Keyword(s):  
Antenna Array ◽  
Linear Array ◽  
Doa Estimation ◽  
Signal Classification ◽  
Multiple Signal Classification ◽  
Signal Parameters ◽  
Radio Frequency Signals ◽  
Observation Space ◽  
Signal Covariance Matrix

This paper presents results of direction of arrival (DOA) estimation using multiple signal classification (MUSIC), Root-MUSIC, and estimation of signal parameters via rotational invariance technique algorithms. As is well known, these algorithms are mainly based on the specific properties of the signal covariance matrix as well as the decomposition of the observation space into two subspaces, one for the signal and the other for the noise. Here, we are particularly interested in the quality of sources localization considering only the case of uncorrelated radio frequency signals impinging on an antenna array. A measurement system consisting of a linear array antenna and a five-port network applicable to a demodulator such as a receiver is used for the DOA estimation process. Co-simulations performed with the Advanced Device System and Matlab yielded interesting results not only on their performance but also on their limitation.

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

2019 ◽  
Vol 19 (13) ◽  
pp. 5078-5085 ◽  
Author(s):  
Karol Abratkiewicz ◽  
Piotr Samczynski ◽  
Krzysztof Czarnecki
Keyword(s):  
Frequency Domain ◽  
Parameters Estimation ◽  
Radar Signal ◽  
Time Frequency ◽  
Signal Parameters

Parameter Estimation of Polynomial Phase Signal by Unscented Kalman Filtering

2014 ◽  
Vol 644-650 ◽  
pp. 4253-4256
Author(s):  
Wan Ge Li ◽  
Jin Feng Hu ◽  
Hui Ai ◽  
Zhi Rong Lin ◽  
Ya Xuan Zhang
Keyword(s):  
Parameter Estimation ◽  
Kalman Filtering ◽  
State Space Model ◽  
Radar Signal ◽  
Signal Parameters ◽  
Polynomial Phase ◽  
Polynomial Phase Signals ◽  
Phase Signal ◽  
Stable Estimation ◽  
Core Issues

The parameter estimation of the Polynomial Phase Signals (PPS) is one of the core issues. In this paper, UKF-based algorithm is proposed to estimate the parameter of PPS embedded in Gaussian noise. The algorithm constructs an adequate state-space model to represent the PPS and the model can also be implied in real radar signal. Unscented Kalman filtering is applied to estimate the signal parameters. The method achieves the lower SNR threshold, the faster convergence speed, the higher accuracy and more stable estimation performance compared with the existing methods. Simulation also verifies the efficiency of the proposed method.

scholarly journals Angular superresolution of signals using virtual antenna arrays

2019 ◽  
pp. 24-34
Author(s):  
V. I. Porsev ◽  
A. I. Gelesev ◽  
A. G. Krasko
Keyword(s):  
Signal Processing ◽  
Antenna Array ◽  
Antenna Arrays ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Signal To Noise ◽  
Angular Coordinate ◽  
Radar Systems ◽  
Signal Sources

We analysed existing publications concerning virtual antenna arrays and determined the limitations of using them in radar systems for the case of prior uncertainty regarding angular positions of signal sources. The paper shows that it is possible to increase angular coordinate resolution for the case of prior uncertainty regarding angular positions of signal sources by employing a virtual antenna array at typical signal-to-noise ratios used in radar signal processing. We provide results of simulating the signals numerically, which confirm our analytical calculations.

scholarly journals Comparison of the performance of adaptive space-time processing against the background of alternative methods

2020 ◽  
Vol 69 (2) ◽  
pp. 129-147
Author(s):  
Anna Ślesicka ◽  
Adam Kawalec
Keyword(s):  
Signal Processing ◽  
Antenna Array ◽  
Target Detection ◽  
Space Time ◽  
Alternative Methods ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Time Processing ◽  
Simulation Results ◽  
Space Time Adaptive Processing

Description and successive stages of the STAP algorithm were characterized in this article. The ability to detect an object by using 6-element antenna array without space-time processing and using the STAP technique were compared and shown. The simulation results showed that the implemented STAP algorithm successfully coped with target detection. In addition, the possibilities of object detection using the STAP technique were compared and shown against the background of other DPCA and ADPCA algorithms. Keywords: space-time adaptive processing, STAP, DPCA, ADPCA, radar signal processing, radar

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