Spatial adaptive subspace detection in OTH radar

Fabrizio, G.A.; Farina, A.; Turley, M.D.

doi:10.1109/taes.2003.1261136

Cited by 65 publications

(37 citation statements)

References 44 publications

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“…The information of island echo can be seen in different distance cells because of its big size. The detection of target with low velocity is disturbed by island and land echo [13,14]. Zero frequency interference is the disturbance locating in the zero frequency among Doppler frequency spectrum nearby.…”

Section: Time-varying Disturbancesmentioning

confidence: 99%

Adaptively Selecting Working Frequency to Reduce Disturbances in High Frequency Radar

Gui

2011

Acta Phys. Pol. A

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In high frequency radar, we should avoid noise disturbances in the radar's working-frequency segment. Moreover, the sidelobes of strong targets interfere with the detection of weak targets. A new method based on an adaptive selecting working-frequency is proposed. Frequency spectrum monitor is designed for selecting quiet frequency segment for the radar. Frequency spectrum monitor and the receiver of the radar are arranged to work according to special time periods respectively. So the radar can work in the frequency segments with lower noise disturbances. Moreover, there is no correlation between the noise and the useful echo signal, though the correlation between noises over very short time periods is strong, the noise data produced by frequency spectrum monitor can be exploited effectively. Adjusting system parameters in real-time by adaptive methods can be utilized to reduce noise disturbances. Algorithm based on the properties of crosscorrelation between noise and target is exploited for suppressing sidelobe disturbances of strong targets. Lastly, the feasibility of the methods is verified by processing actual radar data.

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Section: Time-varying Disturbancesmentioning

confidence: 99%

Adaptively Selecting Working Frequency to Reduce Disturbances in High Frequency Radar

Gui

2011

Acta Phys. Pol. A

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“…A significant fraction of the work in adaptive processing for HFSWR is apparently led by Dr. Yuri Abramovich and Dr. Giuseppe Fabrizio at Defense Science and Technology Organization (DSTO) in Australia [3,[26][27][28][29][30]. In particular, Fabrizio has several contributions developed in detail in his thesis and then several later works that are reviewed…”

Section: Literature Review Of Hfswr Processing Techniquesmentioning

confidence: 99%

Adaptive processing in High Frequency Surface Wave Radar

Saleh

Adve

Riddolls³

et al. 2008

2008 IEEE Radar Conference

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High-Frequency Surface Wave Radar(HFSWR) is a radar technology that offers numerous advantages for low-cost, medium accuracy surveillance of coastal waters beyond the exclusive economic zone. However, target detection and tracking is primarily limited by ionospheric interference. Ionospheric clutter is characterized by a high degree of nonhomogeneity and nonstationarity, which makes its suppression difficult using conventional iii

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“…In particular, the adaptive matched filter (AMF) [3], which solves (1) following a two-step approach, is a prominent example of robust detector, while the adaptive coherence estimator (ACE, also known as adaptive normalized matched filter) [4], [5], [6] and Kelly's detector are selective receivers, i.e., they have excellent rejection capabilities of signals arriving from directions different from the nominal one [7]. Other detectors try to explicitly take into account rejection capabilities at the design stage, namely based on the adaptive beamformer orthogonal rejection test (ABORT) [8] or related ideas [9], [10], subspace detection [11], [12], [13], [14], [15], and cone-shaped constraints [16], [17], [18]. In the ABORT approach the idea is to modify the null hypothesis, by introducting (in addition to the noise term) a fictitious signal which is somehow orthogonal to the assumed target's signature.…”

Section: Introductionmentioning

confidence: 99%

A random-signal approach to robust radar detection

Coluccia

Ricci

2018

2018 52nd Annual Conference on Information Sciences and Systems (CISS)

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Abstract-The paper presents a novel family of robust radar receivers for the problem of detecting the possible presence of a coherent return from a given cell under test. The idea is to introduce a random signal in addition to the nominal steering vector, with a given structure, but whose entity is estimated from the data (hence can also be zero). While in the classical formulation the target signature is present only in the mean of the likelihood function, and recent work investigated tests based on the sole covariance matrix, the proposed approach splits the target signature between mean and covariance. In particular, the complex amplitude is modeled as an unknown deterministic parameter while the random part of the signature is included in the covariance to promote robustness. Preliminary results for different choices of the design matrix (that is, of the structure of the covariance matrix of the random signal) show that a palette of behaviors can be obtained, with different trade-offs between loss under matched conditions and robustness to mismatches.

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Spatial adaptive subspace detection in OTH radar

Cited by 65 publications

References 44 publications

Adaptively Selecting Working Frequency to Reduce Disturbances in High Frequency Radar

Adaptively Selecting Working Frequency to Reduce Disturbances in High Frequency Radar

Adaptive processing in High Frequency Surface Wave Radar

A random-signal approach to robust radar detection

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