Parameter Estimation of LFM Signal in Low  Signal-to-Noise Ratio Using Cross-Correlation Function

Duong, Minh Van; Veselý, Jiří; Hubacek, Petr; Janu, Premysl; Giang, Phan Nhat

doi:10.15598/aeee.v19i3.4071

Cited by 5 publications

(2 citation statements)

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“…Radar signal processing is performed in RX DSP or FPGA by adequate methods or algorithms. Commonly used methods used in RX DSP are [27][28][29][30][31][32][33].…”

Section: Processing Of Combined Intrapulse Modulated Radar Signalsmentioning

confidence: 99%

“…Radar signal processing is performed in RX DSP or FPGA by adequate methods or algorithms. Commonly used methods used in RX DSP are [27–33]. Detection or identification of moving radar targets (MTD, MTI), etc. Radar signal statistical detection using a Constant False Alarm Rate (CFAR) Radar pulse compression using a Pulse Compression Filter. …”

Section: Processing Of Combined Intrapulse Modulated Radar Signalsmentioning

confidence: 99%

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Radar signal waveform based on Costas and Walsh‐Hadamard codes as electronic counter‐countermeasure

Matousek

Perdoch

Pacek

et al. 2023

IET Radar Sonar & Navi

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Belligerent sides of current military conflicts are first and foremost counting on intelligence, air supremacy, and electromagnetic spectrum dominance. Actual concepts of conducting military operations can be characterised by the massive employment of air defence systems, radars, and electronic warfare systems. An approach is aimed to strengthen air‐defence potential by improving the resilience of pulse radar against electronic warfare threats, such as an electronic attack. To cope with the above‐mentioned situation, a radar intrapulse modulation was designed, where a combination of Costas codes and Walsh‐Hadamard codes is applied. Using a particular waveform together with the proposed model for radar signal processing results in increased resilience against an electronic attack, especially against repeater jamming methods. Furthermore, it is also possible to process radar echoes at low levels of Signal‐to‐Noise Ratio (SNR), which enhances radar electronic counter–countermeasure capability. The main scientific contribution of the paper is in the unique design of the Pulse Compression Filter for Combined Intrapulse Modulation (PCF‐CIM) and in its modelling. Based on the statistical evaluation of results, using the proposed radar waveform together with PCF‐CIM, it is possible to detect radar signals with combined intrapulse modulation in the case of SNR ≥ −14 dB with TPR ≥0.9999 and FPR ≤10−6, where SNR stands for Signal‐to‐Noise Ratio, TPR stands for True Positive Rate, and FPR stands for False Positive Rate.

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“…Radar signal processing is performed in RX DSP or FPGA by adequate methods or algorithms. Commonly used methods used in RX DSP are [27][28][29][30][31][32][33].…”

Section: Processing Of Combined Intrapulse Modulated Radar Signalsmentioning

confidence: 99%

Section: Processing Of Combined Intrapulse Modulated Radar Signalsmentioning

confidence: 99%

Radar signal waveform based on Costas and Walsh‐Hadamard codes as electronic counter‐countermeasure

Matousek

Perdoch

Pacek

et al. 2023

IET Radar Sonar & Navi

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Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+

et al. 2023

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The main aim of this review is to describe in detail an advanced technique to detect and estimate the prior unknown parameters of intra-pulse modulated signals and the verification with typical radar signals. The method is approved for detecting parameters successfully, including chirp rate, carrier frequency, and pulse width. The review presents already-done research on detecting and estimating single and multi-component linear frequency modulation (LFM) and binary phase shift keying (BPSK) signals in a strong noise environment and studies the technique on one more case, a mixture of LFM and BPSK signals. Firstly, the accuracy of the revised technique is shown in detecting and estimating parameters of a single and multi-component LFM signal in white noise and a mixture of continuous wave signals and noise, or a single BPSK signal in strong white noise. All of them have been done in the existing studies. This method is continuously tested in the second part by detecting a mixture of LFM and BPSK signals and estimating their parameters in intense noise. The tested experimental results demonstrate that the technique can detect single and multi-component real-time LFM signals, single BPSK as well as verification with a mixture of real-time LFM and BPSK signals with $$SNR \ge - 12{\text{ dB}}$$ S N R ≥ - 12 dB is performed. As a result, the technique outperforms the existing detection methods based on machine learning and artificial intelligence.

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Possibility in Analyzing Real-time LFM Signals under Complex Jamming Conditions

Duong

Veselý

Trang

2022

2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)

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Parameter Estimation of LFM Signal in Low Signal-to-Noise Ratio Using Cross-Correlation Function

Cited by 5 publications

References 0 publications

Radar signal waveform based on Costas and Walsh‐Hadamard codes as electronic counter‐countermeasure

Radar signal waveform based on Costas and Walsh‐Hadamard codes as electronic counter‐countermeasure

Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+

Possibility in Analyzing Real-time LFM Signals under Complex Jamming Conditions

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