Optimal and adaptive reduced-rank STAP

Guerci, J.R.; Goldstein, J.S.; Reed, I. S.

doi:10.1109/7.845255

Cited by 194 publications

(112 citation statements)

References 29 publications

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“…Compare with the blocks " " and " " in Fig. 3a in [15]. The systems , , and (see below) are linear dynamic systems in fast-time.…”

Section: General Structurementioning

confidence: 99%

“…In [15] an expression for the optimal SINR in the single auxiliary beam is given but only for a known reflection system. Neither it is stated where the receiver noise enters, which makes a comparison with our results more difficult.…”

Section: Introductionmentioning

confidence: 99%

“…It does not mean fast execution. In cases where both monostatic (normal) clutter and TSI exist, the monostatic clutter is suggested to be suppressed either separately before [28] or after [13,28] the TSI suppression or together with the TSI by 3D STAP [13,15]. All three approaches have advantages and drawbacks [13,28].…”

Section: Introductionmentioning

confidence: 99%

“…Fast-time TSI suppression methods for TSI in the mainbeam are usually of one of two different architectures [13], either the auxiliary beam architecture (also called sidelobe canceller [13]), 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 [15]), 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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“…Compare with the blocks " " and " " in Fig. 3a in [15]. The systems , , and (see below) are linear dynamic systems in fast-time.…”

Section: General Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Björklund

Nelander

Pettersson

2013

IET Radar, Sonar & Navigation

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“…There are currently many different methods for suppressing hot-clutter (see [7,8]), but only those involving fast-time sampling are relevant to this paper. Also, these publications are focussed primarily on airborne radar and the application of hot-clutter suppression for SAR is a problem that has not yet been addressed.…”

mentioning

confidence: 99%

Anti-jamming techniques for multichannel SAR imaging

Rosenberg

Gray

2006

IEE Proc., Radar Sonar Navig.

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An airborne broadband jammer present in the mainbeam of a synthetic aperture radar (SAR) can potentially destroy a large region of the SAR image. In addition to this, multipath reflections from the ground, known as hot-clutter or terrain scattered interference will add a non-stationary interference component to the image. The goal of interference suppression for SAR is to successfully suppress these interferences while not significantly effecting the image quality by blurring, reducing the resolution or raising the sidelobe level. The paper provides an analysis of the degradation from hot-clutter, the limited restoration that multichannel imaging and slow-time space time adaptive processing (STAP) can provide and how fast-time STAP can improve the final image quality. IntroductionCoherent SAR imaging is very sensitive to additive noise and an airborne broadband jammer has the potential to render it useless. Interference from the jammer can be modelled with two components; a direct-path signal and multipath reflections from the ground. The direct-path of the jammer signal is defined by a narrow azimuth region and while long integration times can be used to 'burnthrough' the interference [1], spatial degrees of freedom are required for effective cancellation. It has been shown that by combining the multichannel data from multiple pulses (slow-time) and performing slow-time STAP, much greater suppression is possible [2]. On the other hand, due to the diffuse reflection from the ground, the hot-clutter component is spread in azimuth and its properties can change rapidly with time, even over several adjacent pulses. This leads to a non-stationarity over slow-time and degrades the performance of slow-time adaptive filtering. Slow-time STAP works well for suppressing signals which are narrow in azimuth, though as the hot-clutter becomes more dominant, interference contributions spread in azimuth and become non-stationary over the coherent processing interval, resulting in images that are blurry and of poor quality. A secondary cause of non-stationarity comes from the changing motion between the SAR and jammer platforms which induces a bistatic Doppler shift for each scatterer. This effect is considered minimal in SAR as the jammer platform is typically a long distance away and the Doppler shift is relatively constant.To effectively account for the effect of non-stationarity between pulses, cancellation of the interference should occur before azimuthal processing. Also the finite bandwidth of SAR means that multipath reflections are partially coherent with the direct-path jamming signal. This implies that temporal adaptive filtering is required within each pulse or over fast-time. Hot-clutter mitigation can therefore be undertaken by employing adaptive processing in both space and fast-time, forming a space/fast-time adaptive processor for each pulse [3,4]. Ender [2] provides the most comprehensive study on SAR jamming, where a number of anti-jamming techniques were analysed and tested with simulation paramete...

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MIMO Radar Spacetime Adaptive Processing and Signal Design

Stoica

2008

MIMO Radar Signal Processing

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Optimal and adaptive reduced-rank STAP

Cited by 194 publications

References 29 publications

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

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

Anti-jamming techniques for multichannel SAR imaging

MIMO Radar Spacetime Adaptive Processing and Signal Design

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