Algorithms for mitigating terrain-scattered interference

Gabel, Robert A.; Kogon, S.M.; Rabideau, D.J.

doi:10.1049/ecej:19990108

Cited by 13 publications

(15 citation statements)

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“…Here we assume that the radar has been able to identify the DOA of an offending source (i.e., ρ 2 k /σ 2 n > 1) and we would like to identify all its associated TSI paths. The formal use of the TSI paths or the interference mainlobe multipaths is very well known in the literature under the topic mainlobe jammer nulling, for example [9][10][11]. However the use of the TSI path in this study is to locate the noise source.…”

Section: Tsi Finder (Lag Domain)mentioning

confidence: 99%

TSI Finders for Estimation of the Location of an Interference Source Using an Ariborne Array

Madurasinghe

Shaw

2007

EURASIP J. Adv. Signal Process.

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An algorithm based on space fast time adaptive processing to estimate the physical location of an interference source closely associated with a physical object and enhancing the detection performance against that object using a phased array radar is presented. Conventional direction finding techniques can estimate all the signals and their associated multipaths usually in a single spectrum. However, none of the techniques are currently able to identify direct path (source direction of interest) and its associated multipath individually. Without this knowledge, we are not in a position to achieve an estimation of the physical location of the interference source via ray tracing. The identification of the physical location of an interference source has become an important issue for some radar applications. The proposed technique identifies all the terrain bounced interference paths associated with the source of interest only (main lobe interferer). This is achieved via the introduction of a postprocessor known as the terrain scattered interference (TSI) finder.

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Section: Tsi Finder (Lag Domain)mentioning

confidence: 99%

TSI Finders for Estimation of the Location of an Interference Source Using an Ariborne Array

Madurasinghe

Shaw

2007

EURASIP J. Adv. Signal Process.

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“…Low sidelobes [1], adaptive beamforming and sidelobe cancellation (SLC) [2] are suggested to be used against TSI in the sidelobes. Fast‐time space‐time adaptive processing (STAP) [3–7] is proposed to be used against TSI in the mainbeam. Fast‐time means range bin to range bin sampling.…”

Section: Introductionmentioning

confidence: 99%

“…In cases where both monostatic (normal) clutter and TSI exist, the monostatic clutter is suggested to be suppressed either separately before [7] or after [4, 7] the TSI suppression or together with the TSI by three‐dimensional (3D) STAP [4, 8]. All three approaches have advantages and drawbacks [4, 7]. Some of the literature about TSI suppression is not widely accessible.…”

Section: Introductionmentioning

confidence: 99%

“…Fast‐time TSI suppression methods for TSI in the mainbeam are usually of one of two different architectures [4], either the ‘auxiliary beam’ architecture (also called ‘sidelobe canceller’ [4]), where the TSI signal in the main radar channel is subtracted by an estimated TSI signal from a single or multiple auxiliary channels, or the ‘fully adaptive array’ (also called 2D STAP [13] or ‘Direct Form Processor’ [8]), where all antenna channels are processed together.…”

Section: Introductionmentioning

confidence: 99%

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Auxiliary beam terrain‐scattered interference suppression: reflection system and radar performance

Björklund

Nelander

Pettersson

2013

IET Radar, Sonar & Navigation

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Terrain-scattered interference (TSI), i.e. jammer signals reflected on the earth's surface, is a significant problem to military airborne radar. In auxiliary beam TSI suppression the TSI in the main radar beam is estimated by a single or several auxiliary beams and is subtracted from the main beam channel. The signal to subtract is the auxiliary beam signals fed through an estimate of the "reflection system", which describes the scattering on the surface.We first present results on the structure of this TSI suppression, on the estimation of the reflection system and on the quality of the estimate. We then derive theoretical expressions for the SINR (Signal to Interference plus Noise Ratio) and the remaining TSI power for a single auxiliary beam. Since the SINR is directly connected to the radar performance, we can see what factors affect the performance and how. We notice that when the estimated reflection system is missing one or more delays of the true system, the TSI filter cannot suppress the TSI signal completely. This phenomenon, which we call "TSI leakage", has a very large impact on the performance. The SINR cannot be kept constant. Instead, an "SINR improvement" can be defined.

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“…At present the known approaches [2][3][4][5][6] to solving this problem require one to stack a considerable number of range returns blindly to form the space fast-time data snapshot or apply a large number of filters first [6]. There are two main problems associated with the current approach.…”

Section: Introductionmentioning

confidence: 99%

Mainlobe Jammer Nulling via TSI Finders: A Space Fast-Time Adaptive Processor

Madurasinghe

Shaw

2006

EURASIP J. Adv. Signal Process.

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An algorithm based on a space fast-time adaptive processor is presented for nulling the mainlobe jammer when the jammer and the target of interest share the same bearing. The computational load involved in the conventional processor, which blindly looks for the terrain-scattered interference (TSI), is required to stack a large number of consecutive range cell returns to form the space fast-time data snapshot making it almost impossible to implement in real time. This issue is resolved via the introduction of a preprocessor (a TSI finder which detects the presence of the minute levels of multipath components of the mainlobe jammer and associated time delays) which directs the STAP processor to select only two desired range returns in order to form the space fasttime data snapshot. The end result is a computationally extremely fast processor. Also a new space fast-time adaptive processor based on the super-resolution approach (eigenvector-based) is presented.

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Algorithms for mitigating terrain-scattered interference

Cited by 13 publications

References 0 publications

TSI Finders for Estimation of the Location of an Interference Source Using an Ariborne Array

TSI Finders for Estimation of the Location of an Interference Source Using an Ariborne Array

Auxiliary beam terrain‐scattered interference suppression: reflection system and radar performance

Mainlobe Jammer Nulling via TSI Finders: A Space Fast-Time Adaptive Processor

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