Digital Signal Processing

Scientific & Technical

“Digital Signal Processing” No. 4-2017

In the issue:

- randomization of receiving signals
- estimation of difference frequency
- processing of navigation information
- enhancement of speech corrupted by noise
- narrowband IIR-filters
- analysis of training neural networks
- wireless direction finding
- reduction of PAPR
- sine wave generation

Randomization of receiving, processing and forming signals in radio channels of communications and location systems
Y.N. Gorbunov, e-mail:

Keywords: randomization, randomized processing, stochastic quantization, coarse statistics, binary and binary - character quantization, amplitude limitation, throughput.

A stochastic approach to the construction of radio channels for communication and location systems is considered. Stochastic radio communication and radiolocation is based on the concept of introducing digital processing into the radio channels and the formation of signals of artificial stochasticity, which, along with the natural stochasticity caused by the random nature of the input signals, randomization of the conditions of the "receive-transmit" process. Examples include: the introduction of redundancy into signals by extending the spectrum of conventional (temporal) and spatial frequencies, the use of stochastic quantization and measurement scales, the use of tuning of carrier frequencies, mixing of controlled noise for linearization of the path, including allowing the use of coarse (binary, binary - Signed) statistics.


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18. Gorbunov YU.N. Randomizaciya usloviy priema i formirovaniya signalov v mnogokanal'nyh doplerovskih informacionnyh sistemah s amplitudnym ogranicheniem // Mezhdunarodnaya konferenciya «Radioelektronnye ustroystva i sistemy dlya infokommunikacionnyh tekhnologiy – REDS-2014». – M.: 2015. pp. 144 – 147.

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Algorithm of objects images parameters estimation according to radiometric observations

V.K. Klochko., e-mail:
S.M. Gudkov., e-mail:

Keywords: : radiometer, radio thermal images, segmentation, classification, model of movement, parameters estimations, trajectory processing.

In the passive systems of the millimetric range of waves radiovision there is a need of objects detection and their movement paths determination for real time according to radiometric observations. The feature of radiometric system consists in radiometer antenna mechanical scanning of a review zone on angular coordinates that takes certain time. Timepoints of objects images segmentation in one cycle of the review differ. In the sequences of review cycles the image of objects and their mutual spatial situation are changing. It requires use of the appropriate movement models taking into account timepoints of segments formation.

The operation purpose – development of an algorithm for several objects images estimation in the sequence of review cycles of the scanning radiometric system taking into account timepoints of segments formation.

For the benefit of this purpose the problem of separation the most probable sequences of vectors belonging to objects from sets of observed segments parameters vectors is solved. In the course of vectors separation trajectory parameters of objects are evaluated according to models of objects movement. The index of credibility of each sequence of vectors is calculated. Upon termination of the review periods the final decision on objects detection with trajectory parameters of their movement is carried out.

The specific algorithm of the task decision for a finite number of steps – the review periods is offered. The algorithm allows to determine objects images parameters in time, including the parameters of objects movement paths taking into account timepoints of segments formation. Results of modeling the offered algorithm and modeling of its high-speed modification are shown in the computer environment. In case of modeling three moving objects with intersection of movement paths were found with probability, close to unit.

Results of operation can find application in the existing scanning radiometric systems for remote sensing of objects on the land surface.

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Processing of onboard navigation information for precise fast correction of space images

N.A. Egoshkin
, e-mail:

Keywords: satellite, navigation, disturbed orbit, dynamic filtering, orientation angles, spatial position.

The problem of satellite navigation data processing for high-precision determination of its linear and angular motion is considered. The problem is solved in order to support the operational ground-based geometric correction of space images. Increase of accuracy is achieved due to the optimal combination of data from duplicated instruments and due to refinement of the angular dynamics using an angular velocity sensor. In this case, it is possible to refine the design parameters with high accuracy due to the use of a large amount of data. To clarify the position and velocity of the satellite, dynamic filtering based on perturbed orbit models is used. Also, the orbits of GLONASS navigation satellites are quickly updated, which is used to solve the navigational task on radio navigation parameters with the use of phase information. Optimization of filtering parameters and accuracy estimation are performed using the high-precision solution obtained with a delay. The proposed approaches are tested on the data from spacecraft "Resurs-P" No. 3, submetric accuracy of the spatial coordinates of the satellite is reached.

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Method of identification of forest fire place projections on digital video images
Minakov E.I., e-mail:
Kalistratov D.S.

Mirchuk S.G.

digital video image, block decomposition, base of reference blocks, projection of fire places, comparison, spectral analysis, two-dimensional discrete Fourier transform.

Considered the actual problem of forest fire, proposed a method for recognizing of fire projections on digital video images based on a two-dimensional discrete Fourier transform, given the results of modeling for the space, air and ground video modes, describes the principle of searching fire projection with beforehand prepared base of fire and smoke images, considered the results of modeling for space, air and ground modes, offered model of corresponding measuring system, given recommendations for use the offered method in each of enumerated video modes.

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Algorithms of a two-element microphone array for speechenhancement in presence of coherent interference
Stolbov M.B.,
Pereluygin S.V., e-mail:

Keywords: problem of enhancing speech, microphone array, additive coherent noise.

The article addresses the problem of enhancing speech corrupted with additive coherent noise when observations from two microphones are available. Five algorithms for signal processing of microphone array based on a priori information about the directions of sources of target signals and interference are analyzed. A conclusion is made about the expediency of using adaptive versions of algorithms.

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Stability analysis of two-stage digital IIR-filter realization
Vityazev V.V., e-mail:
Goriushkin R.S., e-mail:

Keywords: digital signal processing, multirate signal processing, narrowband IIR-filter, forming filter, modeling.

This article is devoted to the stability problem of filters with infinity impulse response (IIR-filters). The goal of this research is to analyze the dependence of IIR-filters two-staged realizationstability on the narrowband coefficientand squareness ratio.And also comparison of cascade structure with non-cascade. The results of modeling in Matlab+Simulink are also considered.

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Comparative analysis of the results training of artificial neural networks in problems of processing signals based on evolutionary algorithm with and using "isolation"
Y.A. Turovsky., e-mail:
A.A. Adamenko., e-mail:

Keywords: neurochip, evolutionary algorithm, isolation, isolate, artificial neural network.

A series of computational experiments was conducted, based on the training of artificial neural networks (ANN) using an evolutionary algorithm. In the first group of these experiments, a simple evolutionary learning algorithm for ANN was used, in the second and third groups, the ANN "isolation" mechanism consisting in crossing the parent ANN and the emergence of a daughter ANN inside one "isolate" - a spatially limited region of ANN weights. It is shown that ANNs trained with the use of the "isolation" mechanism in most cases show better signal classification results than using a simple version of the evolutionary learning algorithm.


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Optimization scheme of partial transmit sequences technique for peak-to-average power ratio reduction of OFDM signals and its FPGA implementation
V.N. Tran, e-mail:

Keywords: Peak-to-Average Power Ratio (PAPR), OFDM modulation, partial transmit sequence (PTS), IFFT, FPGA.

This paper presents an optimization scheme of partial transmit sequence (PTS) technique to reduce the Peak-to-Average Power Ratio (PAPR) of OFDM signals, in which only a single inverse fast Fourier transform (IFFT) block is used and two-phase sequence is applied. The hardware architecture of the proposed PTS scheme is analyzed and mapped onto FPGA. The simulation results on Matlab and experimental results on FPGA for 64-QAM modulation and OFDM symbols of different lengths are presented. Theoretical analysis and simulation results show that, as compared with conventional PTS (C-PTS), the proposed PTS scheme can obtain similar PAPR reduction performance with reduced computational performance.

PTS technique proves an effective approach in PAPR reduction performance without exhibiting signal distortion. The most important part of PTS schemes is the IFFT blocks. However, C-PTS schemes use the large number of IFFT blocks in parallel processing. Moreover, the hardware resource utilization increases exponentially with the number of IFFT blocks. These PTS schemes cannot be implemented on FPGA, if the input data block is partitioned into large number of subblocks.

To reduce the computational complexity with similar PAPR reduction performance compared with C-PTS, we exploit the properties of the IFFT operation: cyclic shift of frequency-domain sequences and property of the frequency-domain down-sampling sequences. Due to these properties of the IFFT operation, M time-domain partial transmit sequences can be computed by using a single N/M-point IFFT block instead of performing M N-point IFFT blocks.


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Development of automatic gain control algorithm of for speech signal
Filimonov V.A., e-mail:

Keywords: automatic gain control, speech signal, digital signal processing.

This article discusses AGC automatic gain control algorithms for digital analytical input signal. Derivation of AGC algorithm for digital analytical speech signal is given. Impact of input signal response and algorithm changeable parameters on output signal response is described. Realization of discuss is possible only on the base of signal digital processing. Algorithm efficiency is confirmed in programmable way. Programmed listings are given in the article text. Special feature of discussed algorithms is their potential resistance defined by lack of feedback circuits.


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Implementation of an OFDM coding system with PAPR reduction
Le Van Ku, e-mail:

Keywords: OFDM modulation, reduce PAPR, Adaptive Active Constellation Extension.

In this paper we analyze the structure of a radio signal with OFDM modulation and conduct a study (research) to reduce the Peak to Average Power Ratio (PAPR) by the use of some carrier frequencies (Tone reservation), by extending some modulation constellation points around of the constellation (Adaptive Active Constellation Extension). As a result of joint research and such methods of processing, PAPR of OFDM signals is reduced significantly (about above 5 dB) and the efficiency of using output amplifiers of the transmitting means is improved.


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