Design of Power Efficient Variable Bandwidth Non-Maximally Decimated FRM Filters for Wideband Channelizer

Sudharman, Sudhi; Bindiya, T. S.

doi:10.1109/tcsii.2018.2888897

Cited by 17 publications

(6 citation statements)

References 11 publications

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“…Fig. 4 shows the comparison of the proposed optimized filter and the prototype filter designed in [21] and [22]. The passband cutoff frequency, stopband start frequency, and order of the three are consistent.…”

Section: A Filter Designmentioning

confidence: 81%

“…The prototype filter optimized and designed in this article meets the constraint conditions. Compared with [21] and [22], it has a greater stopband attenuation and a more pronounced trend of steep descent in the transition zone. It is beneficial for reducing the "bulge" phenomenon in the overlapping zone.…”

Section: A Filter Designmentioning

confidence: 99%

“…In [19], according to the distortion-free reconstruction theory [20], the subband analysis and synthesis filter banks are designed to eliminate the reconstruction error. The nonuniform discrete Fourier transform modulation filter banks are designed in [21] and the reconstruction and frequency characteristics are analyzed. The filter optimization criteria prioritize ensuring the flatness of the passband and the attenuation of the stopband, with lower weights for the transition band.…”

mentioning

confidence: 99%

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Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

Wang,

He,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The remote sensing satellite is developing toward high resolution, large data capacity, and fast transmission rate. The ground receiver is correspondingly required to have the high parallel to improve real-time reception and processing capabilities. In the frequency domain, the parallel processing of multiple subbands is achieved by dividing broadband into narrow bands. However, narrow-band subbands are reconstructed into broadband signals, which can lead to cross-subband distortion. It will affect the accuracy of high-resolution remote sensing images. In this article, the subband division and reconstruction framework is proposed by combining the analog filter with the digital filter. The phase calibration methods and digital filter optimization are proposed to improve the amplitude and phase consistency of the reconstructed signal. The simulation results show that the proposed amplitude consistency optimization method effectively reduces the reconstruction error within 0.001 dB. The proposed phase calibration method effectively reduces the bit error rate of the reconstructed signal. The maximum deviation is no more than 0.1%. Experiments have shown that the optimization method can reduce the distortion error of high-resolution remote sensing images.

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Section: A Filter Designmentioning

confidence: 81%

Section: A Filter Designmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

Wang,

He,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…A drawback of the coefficient decimation based methods is that the passband ripple and stopband attenuation in the resultant frequency response characteristics deteriorates as the value of the decimation factor increases. Interpolation as well as Frequency Response Masking (FRM) [13], [14] techniques developed for obtaining sharp transition width filters without increasing the hardware complexity can also be extended to get a variable bandwidth filter. FRM can be extended to a multistage design as in [15] which is called as fast filter bank.…”

Section: Introductionmentioning

confidence: 99%

A low complexity and high modularity design for continuously variable bandwidth digital filters

Sajeevu¹,

Sakthivel²

2021

Preprint

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Digital filters with variable bandwidth can be used for a variety of applications. Arbitrary change in the bandwidth of a digital Finite Impulse Response (FIR) filter can be acquired using sampling rate converters. In this paper, a sampling rate converter is proposed which is generated from Pascal structure, a fractional delay filter having low hardware complexity and high modularity. The proposed sampling rate converter requires lesser number of multipliers for implementation when compared with the sampling rate converters in the literature. A low pass filter having a single bandwidth sandwiched between two sampling rate converters can contribute multiple bandwidths in such a way that each bandwidth is an arbitrary variation of the original bandwidth. A two stage Frequency response masking approach (FRM) is used for the hardware efficient design of the original low pass filter. A low complexity and high modular novel design for a continuously varying bandwidth of a digital FIR filter is proposed in this paper using the proposed sampling rate converter. The modularity of the Pascal structure can be used to control both pass band ripple as well as stop band attenuation of the continuously variable bandwidth FIR filter design. Different communication standards in a Software defined radio (SDR) channelizer is realized using the proposed design of continuously variable bandwidth filter.

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“…The frequency-response masking (FRM) technology has attracted much attention due to its great advantages in designing the filter with sharp transition bandwidth (STB) [7]. The combination of the FB and FRM technology makes it possible to improve the performance of a channelised transmitter [8,9]. At the same time, the design of a channelised transmitter structure with low complexity can reduce the hardware resource consumption on field programmable gate array (FPGA) [10,11].…”

Section: Introductionmentioning

confidence: 99%

Design of a novel CEM‐FRM‐based low‐complexity channelised radar transmitter

Zhang

Cui

et al. 2021

IET Radar Sonar & Navi

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With the development of the radar technology, it is required that a radar has wider bandwidth and can transmit multiple signals simultaneously. The polyphase digital channelised transmitter structure can transmit multiple signals simultaneously and increase the bandwidth of the output signal. However, in order to reduce the frequency aliasing and improve the spectrum utilisation, the prototype filter needs to have sharp transition bandwidth. The design of the prototype filter directly affects the performance of the radar transmitter. Using the complex-exponential modulation frequency-response masking (CEM-FRM) approach to design the prototype filter can obtain both sharp transition bandwidth and low complexity. The application of a polyphase structure can further reduce the complexity of the filter bank and make the sampling rate of the output signal several times the field programmable gate array operating frequency. The proposed CEM-FRM-based low complexity polyphase channelised radar transmitter is verified by MATLAB simulation and the theoretical complexity of the proposed CEM-FRM-based channelised radar transmitter structure is compared with other methods.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Design of Power Efficient Variable Bandwidth Non-Maximally Decimated FRM Filters for Wideband Channelizer

Cited by 17 publications

References 11 publications

Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

A low complexity and high modularity design for continuously variable bandwidth digital filters

Design of a novel CEM‐FRM‐based low‐complexity channelised radar transmitter

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