On an efficient implementation of the multistage Wiener filter through Householder reflections for DS-CDMA interference suppression

Campos, Marcello L. R. de; Werner, Stefan; Apolinario, J.A.

doi:10.1109/glocom.2003.1258655

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…From this analysis, the attention turned on Wiener filter [6]. The importance of the Wiener filter in image processing is highlighted by the authors in [7,8]. The Wiener filter has many application in video domain [9,10].…”

Section: Introductionmentioning

confidence: 99%

VLSI Architectures of a Wiener Filter for Video Coding

et al. 2021

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In the modern age, the use of video has become fundamental in communication and this has led to its use through an increasing number of devices. The higher resolution required for images and videos leads to more memory space and more efficient data compression, obtained by improving video coding techniques. For this reason, the Alliance for Open Media (AOMedia) developed a new open-source and royalty-free codec, named AOMedia Video 1 (AV1). This work focuses on the Wiener filter, a specific loop restoration tool of the AV1 video coding format, which features a significant amount of computational complexity. A new hardware architecture implementing the separable symmetric normalized Wiener filter is presented. Furthermore, the paper details possible optimizations starting from the basic architecture. These optimizations allow the Wiener filter to achieve a 100× reduction in processing time, compared to existing works, and 5× improvement in megasamples per second.

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Section: Introductionmentioning

confidence: 99%

VLSI Architectures of a Wiener Filter for Video Coding

et al. 2021

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“…Many of the theoretical tools used to derive the proposed pulse compression algorithm can be found in [3][4][5] and are briefly summarized in Section II.…”

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confidence: 99%

Multistage Adaptive Pulse Compression

Vouras¹

2013

2013 IEEE Radar Conference (RadarCon13)

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Abstract-Many modern radar systems employ pulse compression to maximize the energy on target while maintaining high range resolution. For a solitary point target in white noise, employing a matched filter on receive will maximize the target signal-to-noise ratio (SNR) at the output of the receiver. The matched filter itself is a time-reversed version of the transmitted waveform which is convolved with the received time series to pulse compress the data. A drawback to the matched filter receiver is the range sidelobes which extend on either side of the point target and may mask another weaker target. To reduce range sidelobes after pulse compression, novel adaptive pulse compression techniques have been developed.One such technique is the Reiterative Minimum Mean Square Error Adaptive Pulse Compression (RMMSE-APC) algorithm. This algorithm employs an optimal compression filter at each range bin and significantly reduces the range sidelobes in the vicinity of large targets. In this paper, a pulse compression filter with output identical to the RMMSE filter is derived by employing a multi-stage decomposition of the Wiener filter. A reduced rank version of the Multi-Stage Wiener Filter (MSWF) with lower computational complexity can be created by pruning the number of stages in the decomposition. I. BACKGROUNDThe signal received at the radar can be represented as a convolution of the transmitted signal and the impulse response of the range profile illuminated by the radar [1,2]. Let the vector s denote N discrete samples of the transmitted waveformT , and letT represent a length N portion of the illuminated range profile for l = 0, 1, …, L-1, where l is a discrete delay index and L is the number of range cells of interest. Then the signal received at the radar iswhere v(l) is an N-by-1 vector of additive noise samples. The noise is assumed to be temporally and spatially white and uncorrelated with the transmitted signal samples s(k). The matrix A is written as ( )

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Householder-based anti-jamming navigation receiver structures

Werner¹,

Koivunen²

Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal

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This paper addresses the problem of mitigating intentional jumming in navigution receivers using sinart arztetmns and space-time processing. Three differenl anti-jantining receiver strucrrires etuplo.ving cavipirru~iunullv eflcient miiltistuge Wiener j l t e r processing und Holcseholtkr transJonns are ~ireseii~eil. Space-time processing provides srffcieiit number of degrees of freedom for cancelling large nitinher of wideband jammers. The pe&rtnances of the receiver struditres in tenm of signal-to-inle~erence plus noise rutiu (SINR) uiid bit error rule (BER) are compared in sb?rulurion using denrancling junrmiiig scenarios. 7'he robustness and cornputalionul cornple.rit~v of the tnethods are considered as well.

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On an efficient implementation of the multistage Wiener filter through Householder reflections for DS-CDMA interference suppression

Cited by 3 publications

References 12 publications

VLSI Architectures of a Wiener Filter for Video Coding

VLSI Architectures of a Wiener Filter for Video Coding

Multistage Adaptive Pulse Compression

Householder-based anti-jamming navigation receiver structures

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