An adaptive monopulse processor for angle estimation in a mainbeam jamming and coherent interference scenario

Seliktar, Y.; Holder, E.J.; Williams, D.B.

doi:10.1109/icassp.1998.681543

Cited by 18 publications

(13 citation statements)

References 1 publication

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“…Here we assume that the radar has been able to identify the desired source as the suitable transmitter (i.e., ρ 2 k /σ 2 n > 1) and we would like to identify all its associated multipaths. The formal use of the multipaths (known as Terrain Scattered Interference paths or TSI) is very well known in literature under the topic mainlobe jammer nulling [10][11][12][13][14]. However, the use of the multipath in this study is restricted to the bounces off the airborne targets (reflections off the ground are discarded as discussed later).…”

Section: Multipath Lag Findermentioning

confidence: 99%

“…This study introduces a technique to resolve the synchronization problem related to bistatic radar by using a new and emerging class of signal processing technique that may be referred to as space fast-time adaptive processing (SFTAP). The SFTAP is conventionally applied to null mainlobe interferers using an array of receivers in a monostatic configuration [10][11][12][13][14][15]. In a conventional space fast-time adaptive processor one blindly stacks a large number of consecutive range cell returns to form a space fast-time adaptive processor expecting that the process would null the interference signal (commonly known as the mainlobe signal) due to the presence of its delayed copies known as terrain scattered interference paths.…”

Section: Introductionmentioning

confidence: 99%

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Target Localization by Resolving the Time Synchronization Problem in Bistatic Radar Systems Using Space Fast-Time Adaptive Processor

Madurasinghe

Shaw

2009

EURASIP J. Adv. Signal Process.

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The proposed technique allows the radar receiver to accurately estimate the range of a large number of targets using a transmitter of opportunity as long as the location of the transmitter is known. The technique does not depend on the use of communication satellites or GPS systems, instead it relies on the availability of the direct transmit copy of the signal from the transmitter and the reflected paths off the various targets. An array-based space-fast time adaptive processor is implemented in order to estimate the path difference between the direct signal and the delayed signal, which bounces off the target. This procedure allows us to estimate the target distance as well as bearing.

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Section: Multipath Lag Findermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Target Localization by Resolving the Time Synchronization Problem in Bistatic Radar Systems Using Space Fast-Time Adaptive Processor

Madurasinghe

Shaw

2009

EURASIP J. Adv. Signal Process.

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“…The updated angle measurement is used to compute phases for the channels so as to realign the beam axis with the target. The radar (seeker) is affected by different types of interference [5]; this will affect the missile trajectory towards the target and may cause inaccurate tracking. Using a Kalman filter performs the tracking task and facilitates smoothing of the corrupted trajectory.…”

Section: Introductionmentioning

confidence: 99%

Target tracking enhancement using a Kalman filter in the presence of interference

Elgamel

Soraghan

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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In this paper we present a new target tracking enhancement system that uses a Kalman filter in the presence of interference. If the radar (seeker) is affected by different types of interference, this will affect the missile trajectory towards the target and may cause inaccurate tracking. In the new system a six-state Kalman filter is utilized to perform the tracking task and to carry out smoothing to the corrupted trajectory. This also provides good information about the target velocity in three dimensions which is very important information about the target. A three dimensional scenario between target (with high manoeuvre) and missile is used to illustrate the performance of the system in the case when (i) no interference is present and (ii) interference is present. The performance of the filtered trajectory using the Kalman tracker will be assessed for different guidance methods: including (i) proportional navigation (ii) pure pursuit and (iii) constant bearing. The Kalman improvement for the tacking for the three guidance method will be analysed.

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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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An adaptive monopulse processor for angle estimation in a mainbeam jamming and coherent interference scenario

Cited by 18 publications

References 1 publication

Target Localization by Resolving the Time Synchronization Problem in Bistatic Radar Systems Using Space Fast-Time Adaptive Processor

Target Localization by Resolving the Time Synchronization Problem in Bistatic Radar Systems Using Space Fast-Time Adaptive Processor

Target tracking enhancement using a Kalman filter in the presence of interference

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

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