Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise

The idea of preconditioning transmit waveforms for optimal clutter rejection in radar imaging is presented. Waveform preconditioning involves determining a map on the space of transmit waveforms, and then applying this map to the waveforms before transmission. The work applies to systems with an arbitrary number of transmitand receive-antenna elements, and makes no assumptions about the elements being co-located. Waveform preconditioning for clutter rejection achieves efficient use of power and computational resources by distributing power properly over a frequency band and by eliminating clutter filtering in receive processing.

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“…(13). In order for the analysis to hold, it is necessary to make certain assumptions about the transmit waveforms and the scattering environment.…”

Section: The Preconditioning Operatormentioning

confidence: 99%

“…Similar to the first approach, matched filtering is used as a foundation for joint design of waveforms and receive processing for target detection, identification and classification. [11][12][13][14][15] For target detection, the waveforms are designed by maximizing the signal-to-noise or signal-to-interference ratios.…”

Section: Introductionmentioning

confidence: 99%

Waveform Preconditioning for Clutter Rejection in Multipath for Sparse Distributed Apertures

Varslot

Yazıcı

Yarman

et al. 2007

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

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“…In [3], [12]- [15], [23], and [27], the classical concept of matched filtering was further developed to address the joint design of optimum waveforms and receive processing for target detection and classification applications. In [3], [12], [13], and [23], methods of waveform/receiver design have been developed for target detection based on maximizing the signal-to-noise or signal-to-interference ratios.…”

Section: Related Workmentioning

confidence: 99%

“…In [3], [12], [13], and [23], methods of waveform/receiver design have been developed for target detection based on maximizing the signal-to-noise or signal-to-interference ratios. These studies assume that the target is range-only extended target and the impulse response function of the target is known and deterministic.…”

Section: Related Workmentioning

confidence: 99%

“…These studies assume that the target is range-only extended target and the impulse response function of the target is known and deterministic. In [12], [23] was extended to target identification problem. In [3], design of optimal waveforms for target classification based on mutual information criteria for range-only extended statistical target model was studied.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Wideband Extended Range-Doppler Imaging and Waveform Design in the Presence of Clutter and Noise

Yazıcı

Xie

2006

IEEE Trans. Inform. Theory

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Abstract-This paper presents a group-theoretic approach to address the wideband extended range-Doppler target imaging and design of clutter rejecting waveforms. An exact imaging method based on the inverse Fourier transform of the affine group is presented. A Wiener filter is designed in the affine group Fourier transform domain to minimize wideband clutter range-Doppler reflectivity. The Wiener filter is then used to form an operator to precondition transmitted waveforms to reject clutter. Alternatively, the imaging and clutter rejection methods are equivalently re-expressed to perform clutter suppression upon reception. These methods are coupled with noise suppression upon reception. Numerical simulations are performed to demonstrate the performance of the proposed approach. Our study shows that the framework introduced in this paper can address the joint design of receive and transmit processing, design of clutter rejecting waveforms, suppression of noise, and reduction of computational complexity in receive processing.Index Terms-Affine group, extended range-Doppler reflectivity, waveform design, wideband, Wiener filter.

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Cognitive Design of Radar Waveform and the Receive Filter for Multitarget Parameter Estimation

Yao

Zhao

2019

J Optim Theory Appl

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This research work considers waveform design for an adaptive radar system. The aim is to achieve enhanced feature extraction performance for multiple extended targets. There are two scenarios to consider: multiple extended targets separated in range and multiple extended targets close in range. We propose a waveform optimization scheme based on Kalman filtering by minimizing the mean square error of separated target scattering coefficient estimation and a waveform optimization approach by minimizing the mean square error of closed power spectrum density estimation. A convex cost function is established, and the optimal solution can be obtained using the existing convex programming algorithm. With subsequent iterations of the algorithm, the simulation results demonstrate an improvement in the estimation of target parameters from the dynamic scene, such as target scattering coefficient and power spectrum density, while maintaining relatively lower computational complexity.

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Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise

Cited by 78 publications

References 2 publications

Waveform Preconditioning for Clutter Rejection in Multipath for Sparse Distributed Apertures

Waveform Preconditioning for Clutter Rejection in Multipath for Sparse Distributed Apertures

Wideband Extended Range-Doppler Imaging and Waveform Design in the Presence of Clutter and Noise

Cognitive Design of Radar Waveform and the Receive Filter for Multitarget Parameter Estimation

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