A low sidelobe technique for the direct measurement of scattering functions

Ricker, Dennis W.; Gustafson, Michael

doi:10.1109/48.485198

Cited by 13 publications

(6 citation statements)

References 33 publications

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“…Simulation Study 1: First, we present a performance comparison of our SF estimator with an improved version of the cross-ambiguity estimator 4 proposed in [13] and the uncertainty product function (UPF) estimator [15]. The cross-ambiguity estimator used a maximum-length pseudonoise sequence of length 511 as sounding signal.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [13], a more sophisticated method is proposed that uses a cross-ambiguity function and is based on a statistical input/output relation combined with equalization and smoothing (a preliminary version of this method can be found in [14]). In [15], an SF estimator using a so-called uncertainty product function is presented; this estimator extends the twin processor method previously proposed in [16], [17]. Finally, Manuscript received January 10, 2003; revised May 22, 2003.…”

Section: Introductionmentioning

confidence: 98%

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Unbiased Scattering Function Estimators for Underspread Channels and Extension to Data-Driven Operation

Artes

Matz

Hlawatsch

2004

IEEE Trans. Signal Process.

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Abstract-We propose two methods for the estimation of scattering functions of random time-varying channels. In contrast to existing methods, our methods exploit the underspread property of these channels to achieve good estimation performance and low computational complexity. The first method uses a dedicated sounding to measure the channel. The second method uses the data signal of an ongoing data transmission as sounding signal and thus allows estimation without dedicated sounding. Both methods are effectively unbiased and can be implemented efficiently using the Zak transform. The performance of our scattering function estimators is studied both analytically by means of variance bounds and experimentally through numerical simulation, and their superiority over existing methods is demonstrated.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Unbiased Scattering Function Estimators for Underspread Channels and Extension to Data-Driven Operation

Artes

Matz

Hlawatsch

2004

IEEE Trans. Signal Process.

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“…Iterative methods for deconvolution of two-dimensional (2-D) signals or images are discussed in [1]- [3]. A direct measurement approach using specially designed waveform pairs and twin receivers is given in [4] and [5]. More recently, Hahm et al reviewed the effects of simultaneous range and Doppler spreading on the results of various iterative deconvolution methods and discussed some resulting signal design issues [6].…”

Section: Introductionmentioning

confidence: 99%

Rapid estimation of the range-doppler scattering function

Kay

Doyle

2003

IEEE Trans. Signal Process.

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Under wide sense stationary uncorrelated scattering (WSSUS) conditions, the signal spreading due to a random channel may be described by the scattering function (SF). In an active acoustic system, the received signal is modeled as the superposition of delayed and Doppler spread replicas of the transmitted waveform. The SF completely describes the second-order statistics of a WSSUS channel and can be considered a density function that characterizes the average spread in delay and Doppler experienced by an input signal as it passes through the channel. The SF and its measurement will be reviewed. An estimator is proposed based on a two-dimensional (2-D) autoregressive (AR) model for the scattering function. In order to implement this estimator, we derive the conditional minimum variance unbiased estimator of the time-varying frequency response of a linear channel. Unlike conventional Fourier methods, the AR approach does not suffer from the usual convolutional smoothing due to the signal ambiguity function. Simulation results are given.

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“…The direct method using high resolution waveforms is an efficient approach to estimate NBSF. But the problem with direct approach is that it is plagued by the self-clutter problem caused by the volume conservation property of the ambiguity functions [71]. In [68], [71], they have proposed a new technique applicable to the estimation of NBSF that is effective in reducing self-clutter as well as volume conservation effects.…”

Section: Discussionmentioning

confidence: 99%

“…A number of methods exist to perform the deconvolution, direct and iterative. A direct measurement approach using specially designed 132 waveform pairs and twin receivers is given in [68], [71]. Iterative methods are computationally intensive.…”

Section: Discussionmentioning

confidence: 99%

Developing efficient processing algorithms for wideband sonar signals

Sharif¹

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Abeysekera, for his guidance, inspiration, enthusiasm, and persistence during my research. He gave me valuable ideas and suggestions and guided me throughout my research. I would also like to thank Dr. Wan Chunru to give his valuable time for some discussions and to provide some books for my research. Special thanks are given to the School of Electrical & Electronic Engineering for the financial support during my research. Special thanks are intended to all Lab Staffs and friends for their support, accompany, and encouragement. Finally, I would like to thank my all family members, spouse, and the only son for their love and unconditional support.

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A low sidelobe technique for the direct measurement of scattering functions

Cited by 13 publications

References 33 publications

Unbiased Scattering Function Estimators for Underspread Channels and Extension to Data-Driven Operation

Unbiased Scattering Function Estimators for Underspread Channels and Extension to Data-Driven Operation

Rapid estimation of the range-doppler scattering function

Developing efficient processing algorithms for wideband sonar signals

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