Methods of Increase of Short Chirp Signals Compression

Pogribny, W.; Leszczyński, Tadeusz; Rozhankivsky, Igor; Sędek, E.

doi:10.1109/eurcon.2007.4400387

Cited by 3 publications

(2 citation statements)

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“…In Fig. 2, some examples of chirp signal processing with the parameters listed below and the matched and unmatched spectra are shown (Pogribny et al, 2007). The chirp with BT = 37.5 consists of N = 76 samples, the number of convolutions is 2N −1 = 151, and the main lobe contains one sample only.…”

Section: Using Nonlinear Operations On Matched Filtering Resultsmentioning

confidence: 99%

Optimization of Short Probe Linear Frequency Modulated Signal Parameters

Pogribny¹,

Leszczyński²

2011

Archives of Acoustics

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In many physical experiments, linear frequency modulated (LFM) signals are widely used to probe objects in different environments, from outer-space to underwater. These signals allow a significant improvement in measurement resolution, even when the observation distance is great. For example, using LFM probe signals in underwater investigations enables discovery of even small objects covered by bottom sediments.Recognition of LFM (chirp) signals depends on their compression based on matched filtering. This work presents two simple solutions to improve the resolution of the short chirp signals recognition. These methods are effective only if synchronization between the signal and matched filter (MF) is obtained. This work describes both the aforementioned methods and a method of minimizing the effects of the lack of synchronization.The proposed matched filtering method, with the use of n parallel MFs and other techniques, allows only one sample to be obtained in the main lobe and to accurately locate its position in the appropriate sampling period Ts with accuracy Ts/n. These approaches are appropriate for use in probe signal processing.

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Section: Using Nonlinear Operations On Matched Filtering Resultsmentioning

confidence: 99%

Optimization of Short Probe Linear Frequency Modulated Signal Parameters

Pogribny¹,

Leszczyński²

2011

Archives of Acoustics

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“…An increase of BT leads in most cases to compression improvement, but as it is shown in this work, significant compression can be obtained even if the BT is within 1.5-3 only by using the proposed methods. Authors have found out that for short noisy chirp signals with small BT it is optimal to use the digital matched filtration on convolutions in time domain, and not 'fast convolutions' in frequency domain on the basis of DFT and IDFT [5] because of: 1) higher rate of matched filtration in the time domain based on transversal filters when each convolution is obtained during one sampling period T s . Such a filtration requires N parallel operations (where N is a number of signal samples) for obtaining all convolutions as opposed to the use of the fast convolutions which need N log 2 N operations; 2) better accuracy of calculations because a filtration in the time domain does not need as many transformations as a filtration based on the fast convolutions in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

Improvement of short noisy chirp signals recognition

Pogribny

Leszczyński

2008

2008 International Conference on Signals and Electronic Systems

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Broadband signals with the use of linear modulation of frequency LMF (so-called chirp signals) are widely used in locations. Recognition of the chirp signals depends mainly on their compression based on the matched filtration. The short chirp signals are especially conducive to using in different fastacting and accurate systems of robotics, geophysics, remote sensing, telecommunications, and, obviously, in locations. This paper presents two simple solutions to essentially improving of the recognition resolution of the short noisy chirp signals, product BT of which does not exceed 100. The authors have found that the best result is achieved when both methods are used simultaneously.

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