Dual Cancelled Channel STAP for Target Detection and DOA Estimation in Passive Radar

Blasone, Giovanni Paolo; Colone, Fabiola; Lombardo, P.; Wojaczek, Philipp; Cristallini, Diego

doi:10.3390/s21134569

Cited by 8 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Passive radar refers to a radar detection system that does not emit electromagnetic wave signals but relies on existing electromagnetic waves in space to achieve detection, positioning, and tracking [1][2][3][4][5]. Passive radar can detect targets by receiving electromagnetic wave signals from third-party non-cooperative illuminators reflected by targets.…”

Section: Introductionmentioning

confidence: 99%

A Target Detection Method of Distributed Passive Radar without Direct-Path Signal

Zhu¹,

Wang

2023

Electronics

View full text Add to dashboard Cite

At present, there are many technical methods in the field of target detection, but the detection methods are greatly affected by direct-path signals and need technical support such as extracting pure direct-path signals, so they cannot be used under the condition of without-direct-path signals. In this paper, a distributed target detection method is studied under a without-direct-path signals system. In the case of without-direct-path signals, target detection is achieved by the generalized likelihood ratio test (GLRT). At the same time, the input echo signals in target detection need time synchronization, so the impact of time delay should be eliminated. However, the traditional time delay estimation method is realized through coherent processing between echoes, which requires a high signal-to-noise ratio (SNR). Therefore, a time delay estimation method is proposed in this paper. Finally, the experimental results show that the accuracy of target detection by GLRT is improved, and the signal-to-noise ratio is also improved under the condition of without-direct-path signals. Moreover, the accuracy of delay detection is improved.

show abstract

Section: Introductionmentioning

confidence: 99%

A Target Detection Method of Distributed Passive Radar without Direct-Path Signal

Zhu¹,

Wang

2023

Electronics

View full text Add to dashboard Cite

show abstract

“…Source localization using DOA estimation is crucial in antenna array signal processing [1]. For far-field sources, the wavefront of signals can be considered plane, and the source position can be characterized by the DOA [2].…”

Section: Introductionmentioning

confidence: 99%

Sparse Non-Uniform Linear Array-Based Propagator Method for Direction of Arrival Estimation

Mo,

Tong,

Wang

et al. 2023

Electronics

View full text Add to dashboard Cite

A novel approach that does not require the number of sources as a priori is proposed to estimate the direction of arrival (DOA) based on a sparse non-uniform linear antenna array. To ensure the identifiability of the DOA, a specific configuration scheme of sparse array is designed. Based on this specific sparse array, firstly the fourth-order cumulant (FOC) is adopted to eliminate the impact imposed by Gaussian noise. Secondly, to circumvent eigenvalue decomposition or singular value decomposition, a propagator is constructed by using a Hermitian FOC matrix and a hyperparameter. Finally, a projection onto an irregular Toeplitz set is proposed to further improve estimation accuracy.

show abstract

“…At present, target detection methods under sea clutter suppression are mainly divided into four categories in [ 12 , 13 , 14 ]: time-domain cancellation method, subspace decomposition method, neural network clutter suppression method and time-frequency analysis. Time-domain cancellation method mainly includes moving target indication (MTI) [ 15 ], motion target detection (MTD) [ 16 , 17 , 18 , 19 , 20 ], adaptive moving target indication (AMTI) [ 21 , 22 ], space-time adaptive processing (STAP) [ 23 , 24 , 25 , 26 ] and root loop cancellation method [ 27 , 28 ]. The MTI method uses the difference of Doppler frequency between the target signal and the sea clutter signal to design the filter so that the band stop notch of the filter is aligned with the center frequency of sea clutter as much as possible to realize the suppression of the sea clutter.…”

Section: Introductionmentioning

confidence: 99%

Sea Clutter Suppression and Target Detection Algorithm of Marine Radar Image Sequence Based on Spatio-Temporal Domain Joint Filtering

Wen

Wei

2022

Entropy

View full text Add to dashboard Cite

In marine radar target detection, sea clutter will cause a large number of missed alarms and false alarms, which will affect the accuracy of target detection. In order to suppress sea clutter effectively, a sea clutter suppression and target detection algorithm of marine radar image sequence based on spatio-temporal domain joint filtering is proposed in this paper. The proposed method is to add a sea clutter suppression link before detecting the target. Firstly, the marine radar image sequence is transformed into three-dimensional frequency wavenumber domain by three-dimensional fast Fourier transform (3D-FFT), and then the three-dimensional image spectrum is obtained. According to the fact that the sea clutter spectrum obtained from the image spectrum satisfies the dispersion relation of linear wave theory in the three-dimensional frequency wavenumber domain, a sea clutter model is established. Then, through the established sea clutter model, a spatio-temporal domain joint sea clutter suppressor is designed to filter the image spectrum. After that, the filtered image spectrum is transformed by three-dimensional inverse fast Fourier transform (3D-IFFT) to obtain the image sequence in which sea clutter is suppressed. Finally, target detection is carried out for sea clutter suppressed image sequence. The method is validated by using the real data of X-band marine radar. Compared with the classical Empirical mode decomposition (EMD) method, the improvement of signal-to-noise ratio (SNR) is more obvious, and SNR can be increased by 15.3 db at most. In addition, compared with target detection on original images directly, the proposed method has excellent detection rate and can increase detection rates by at least 8%.

show abstract

Dual Cancelled Channel STAP for Target Detection and DOA Estimation in Passive Radar

Cited by 8 publications

References 35 publications

A Target Detection Method of Distributed Passive Radar without Direct-Path Signal

A Target Detection Method of Distributed Passive Radar without Direct-Path Signal

Sparse Non-Uniform Linear Array-Based Propagator Method for Direction of Arrival Estimation

Sea Clutter Suppression and Target Detection Algorithm of Marine Radar Image Sequence Based on Spatio-Temporal Domain Joint Filtering

Contact Info

Product

Resources

About