Study on high-speed and multi-target detection algorithm based on STFT and FRFT combination

Hou, Huayan; Pang, Cunsuo; Guo, Honglei; Qu, Xiqiang; Han, Yan

doi:10.1016/j.ijleo.2015.10.140

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…According to the uncertainty principle, the relationship between time resolution and frequency resolution is inversely. The narrower the window is, the higher the time resolution is; a wider window may help improve frequency resolution but the time resolution will decrease [41]. To obtain higher time-frequency resolution, Gauss function is defined as where σ is the standard deviation of Gaussian function, the FFT of g(t) may be rewritten as…”

Section: Selection Of Windowmentioning

confidence: 99%

A Weak Target Detection Algorithm IAR-STFT Based on Correlated K-distribution Sea Clutter Model

Liu¹,

Rao²,

Hu³

et al. 2023

RADIOENGINEERING

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The detection performance of weak target on sea is affected by the special effects of sea clutter amplitude. Aiming at the time and space correlated of sea clutter, the correlated K-distribution sea clutter model is established by the sphere invariant random process algorithm. To solve the problems of range migration (RM) and Doppler frequency migration (DFM) of moving target in the case of long-time coherent accumulation, a novel integration detection algorithm, improved axis rotation short-time Fourier transform (IAR-STFT) is proposed in this paper, which is based on a generalization of traditional Fourier transform (FT) algorithm and combined with improved axis rotation. IAR-STFT not only can eliminate the RM effect by searching for the target motion parameters, but also can divide the non-stationary echo signal without range migration into several blocks. Each block of signal can be regarded as a stationary signal without DFM and FFT is performed on each signal separately. The signals of each block are accumulated to detect the target in the background of the above sea clutter. Finally, the effectiveness of the algorithm is verified by simulation. The results show that the detection ability of this algorithm is better than that of Radon-fractional Fourier transform, generalized Radon Fourier transform and Radon-Lv's distribution in low SNR environment, e.g., when the SNR is -45 dB, the detection ability of this algorithm is about 55%, which is higher than that of Radon-fractional Fourier transform, generalized Radon Fourier transform and Radon-Lv's distribution.

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Section: Selection Of Windowmentioning

confidence: 99%

A Weak Target Detection Algorithm IAR-STFT Based on Correlated K-distribution Sea Clutter Model

Liu¹,

Rao²,

Hu³

et al. 2023

RADIOENGINEERING

View full text Add to dashboard Cite

show abstract

“…As a general form of Fourier transformation, FRFT (fractional order Fourier transformation) has attracted extensive attention in the signal processing community in recent years thanks to its good aggregation when dealing with linear frequency modulation (LFM) signals, a property critical for dealing with non-stationary time-varying signals [19,20,21,22,23,24,25]. More importantly, FRFT—as a means of one-dimensional linear transformation—has no cross-term influence when dealing with multi-component LFM signals.…”

Section: Introductionmentioning

confidence: 99%

Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT

Pang

Han

Hou

et al. 2016

Sensors

Self Cite

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This paper proposes a time-frequency algorithm based on short-time fractional order Fourier transformation (STFRFT) for identification of a complicated movement targets. This algorithm, consisting of a STFRFT order-changing and quick selection method, is effective in reducing the computation load. A multi-order STFRFT time-frequency algorithm is also developed that makes use of the time-frequency feature of each micro-Doppler component signal. This algorithm improves the estimation accuracy of time-frequency curve fitting through multi-order matching. Finally, experiment data were used to demonstrate STFRFT’s performance in micro-Doppler time-frequency analysis. The results validated the higher estimate accuracy of the proposed algorithm. It may be applied to an LFM (Linear frequency modulated) pulse radar, SAR (Synthetic aperture radar), or ISAR (Inverse synthetic aperture radar), for improving the probability of target recognition.

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A blind spot detection and warning system based on millimeter wave radar for driver assistance

Liu

Ming-zheng

Wang

et al. 2017

Optik

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Study on high-speed and multi-target detection algorithm based on STFT and FRFT combination

Cited by 6 publications

References 11 publications

A Weak Target Detection Algorithm IAR-STFT Based on Correlated K-distribution Sea Clutter Model

A Weak Target Detection Algorithm IAR-STFT Based on Correlated K-distribution Sea Clutter Model

Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT

A blind spot detection and warning system based on millimeter wave radar for driver assistance

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