New window functions generated by means of time convolution-spectral leakage error

Reljin, Irini; Reljin, Branimir; Papić, Vladimir D.; Kostic, P.

doi:10.1109/melcon.1998.699352

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…Convolutional windows are produced by convolving the window with itself. High side lobe attenuation and flat top spectrum is obtained by time convolution of classical windows [8]. These windows are appropriate for harmonic amplitude evaluation in non synchronous sampling case.…”

Section: Convolutional Windowsmentioning

confidence: 99%

Convolutional Windows for Side Lobe Reduction

Valli¹,

Rani²,

Kavitha³

2019

IJITEE

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A lot of applications in radar systems necessitate low range side-lobe performance which is achieved by pulse compression processing. Linear Frequency Modulation (LFM) signal is mainly used chirp signal for this processing. The paramount drawback in LFM is the first side-lobe level of -13dB at the receiver side. In this paper, LFM signal is modified by using simple two-stage piece wise linear frequency modulation (PWLFM) functions. The autocorrelation function of this PWLFM signal exhibited low peak sidelobe level ratio (PSLR) value compared to its counterpart LFM signal. An attempt is made to further reduce the side lobe values by using novel Convolutional windows. The simulation results confirm a significant side lobe reduction by the LFM signal designed using PWLFM functions when a more flexible Power of Cosine window function is applied compared to all other window functions.

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Section: Convolutional Windowsmentioning

confidence: 99%

Convolutional Windows for Side Lobe Reduction

Valli¹,

Rani²,

Kavitha³

2019

IJITEE

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“…Regarding r, all values ranging from 0% up to 90%, with a step of 10%, have been considered. As for (·), a large set of functions, which differ from one another in relevant spectral characteristics, has been arranged; the set includes most windows defined in (Reljin I. et al, 1998), such as Hanning, Blackman, MS-3FT, MS-4FT, FD-3FT, and FD-4FT, and the new window proposed in (Jokinen H. et al, 2000), which is referred to as Ollila. Concerning H, the considered values range from 5 up to 50, with a step of 5.…”

Section: Performance Optimization and Assessmentmentioning

confidence: 99%

Reliable and Repeatable Power Measurements in DVB-T Systems

Angrisani

Capriglione

Ferrigno

et al. 2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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“…Convolutional windows are formed by convolving the window with itself. High side lobe attenuation and flat top spectrum is obtained by time convolution of classical windows [10]. These windows are appropriate for harmonic amplitude evaluation in non synchronous sampling case.…”

Section: Introductionmentioning

confidence: 99%

Conventional vs. Convolutional Windows for Reduction of Side Lobes

Valli*,

Rani,

Kavitha

2019

IJEAT

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Convolutional windows analysis and performance comparison with traditional windows is main intent of the present paper. Convolutional windows are formed by convoluting the window by itself. These new class of windows are applied to a pseudo-LFM signal designed by using two stage piece wise linear frequency functions. Simulations were performed for the designed LFM signal with both the traditional and convolutional window functions are is observed that the convolutional windows yield better peak to side lobe level ratio (PSLR) values compared to traditional windows.

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New window functions generated by means of time convolution-spectral leakage error

Cited by 9 publications

References 6 publications

Convolutional Windows for Side Lobe Reduction

Convolutional Windows for Side Lobe Reduction

Reliable and Repeatable Power Measurements in DVB-T Systems

Conventional vs. Convolutional Windows for Reduction of Side Lobes

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