Speckle Pattern Errors in Self-Mixing Interferometry

Donati, Silvano; Martini, Giuseppe; Tambosso, T.

doi:10.1109/jqe.2013.2276894

Cited by 44 publications

(47 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Detailed study of error caused by speckle pattern in case of SMI has been conducted in [14] and a solution was presented for phase and amplitude errors generated by speckle pattern in the case of diffusing targets. In addition, work has been carried out in [25] on the statistics of the systematic and random errors in SMI for two cases of developing randomness and fully developed randomness.…”

Section: B Speckle Effect In Sm Interferometrymentioning

confidence: 99%

See 1 more Smart Citation

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

et al. 2017

View full text Add to dashboard Cite

Self-mixing (SM) or optical feedback interferometry has been extensively used for high precision displacement and vibration sensing. However, presence of speckle can significantly degrade the SM interferometric signal and cause changes in signal amplitude as well as in the operating optical feedback regime, resulting in reduction in measurement precision. Previously, different advanced digital signal processing techniques have been proposed to undo the effects caused by speckle. However, their complex and computationally heavy nature inhibits their use for real-time, high bandwidth sensing applications. In this regard, an all analog signal processing algorithm has been presented in this paper which allows realtime processing of speckle affected SM signal while using standard analog circuits. Various simulations indicated that it is able to correctly process speckle affected SM signals having amplitude variation of at least one order and optical feedback parameter C reduction till 0.5. This proposed algorithm has been tested on experimentally acquired speckle affected SM signals and found capable of dealing with variations in optical feedback regime and amplitude modulation of SM signals, in accordance with simulation results. The developed hardware prototype circuit measures maximum displacement amplitude of 0.4 mm at maximum target velocity of 8 mm/s for an SM sensor with laser wavelength of 785 nm as long as C > 0.5. The proposed all analog processing could be a significant step towards a robust, low-cost, integrated, real-time SM displacement sensor.

show abstract

Section: B Speckle Effect In Sm Interferometrymentioning

confidence: 99%

“…However, in the presence of speckle [14], such high precision SMI displacement retrieval is greatly reduced. In order to avoid this degradation in performance, two approaches then exist.…”

Section: Introductionmentioning

confidence: 99%

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Speckle can cause the laser beam to add field amplitude constructively or destructively resulting in increase or decrease in the OFI signal amplitude and resulting in an error on the target displacement reconstruction, and is consubstantial to OFI due to its experimental conditions, with a coherent beam shone onto a rough target. Details on how speckle affect OFI signal can be found in [16].…”

Section: C Envelope Detectionmentioning

confidence: 99%

“…Finding the envelope of the signal was performed twice -for positive and negative envelope separately. Another approaches have involved actively tracking of a bright speckle spot along time [16]. Atashkhooei et.…”

Section: Introductionmentioning

confidence: 99%

Extraction of vibration parameters from optical feedback interferometry signals using wavelets

Jha¹,

Azcona²,

Yáñez³

et al. 2015

Appl. Opt.

View full text Add to dashboard Cite

This paper proposes the use of the wavelet transform as a technique well-suited for fringe detection and analysis of optical feedback interferometry (OFI) signals, allowing the retrieval of extremely small physical motion phenomena. A novel algorithm based on wavelet transform is used to process the OFI signal simultaneously in the time and frequency domain, enabling a precise detection of signal fringes and thus, the extraction of amplitude features of the vibrating target with an average error in the order of 0.1λ. Furthermore, using a complex Morlet wavelet as analyzing wavelet enables to extract important information from the time envelope of the OFI signal. Such envelope can be useful in detecting fringes even in the presence of speckle reducing the error in a displacement reconstruction. Examples of OFI applications including nanometric displacement sensing without direction ambiguity, as well as the measurement of the frequency and velocity of vibrating targets, and the detection in time of non-periodic events are also presented using this wavelet approach. The paper, thus presents a novel approach to the processing of optical feedback interferometry signals.

show abstract

“…Nevertheless, in the case of heterogeneous surfaces, particularly those with high surface granularity (such as the skin and other biological tissue), the FCA can produce faulty results. These results are generated because of the appearance of speckle [26] over the SMI signal, thus, not allowing the use of a continuous threshold level throughout the SMI signal and increasing the complexity and resource consumption of the reconstruction algorithm. This may result, in some cases, in the loss of displacement information.…”

Section: Calculationmentioning

confidence: 99%

A new method for the acquisition of arterial pulse wave using self-mixing interferometry

Arasanz¹,

Azcona²,

Royo³

et al. 2014

Optics & Laser Technology

View full text Add to dashboard Cite

In this article we present a technique based on self-mixing interferometry as a method for the acquisition and reconstruction of the arterial pulse wave. A modification, of the classic fringe counting reconstruction algorithm is proposed, to deal with some of the problems caused by biological tissue surface roughness, therefore allowing a reconstruction of the arterial displacement with a resolution of 400nm. The traits of the arterial pulse wave have been retrieved with high detail, allowing their interpretation by a skilled practitioner. The heart beat measurements show a good agreement when compared to the readings of a commercial pulse-meter, therefore proving the versatility and the viability of the technique for the measurement of other cardiovascular signals.

show abstract

Speckle Pattern Errors in Self-Mixing Interferometry

Cited by 44 publications

References 11 publications

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

All Analog Processing of Speckle Affected Self-Mixing Interferometric Signals

Extraction of vibration parameters from optical feedback interferometry signals using wavelets

A new method for the acquisition of arterial pulse wave using self-mixing interferometry

Contact Info

Product

Resources

About