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Book ChapterDOI

Sonar Data Processing Using Multicore Architecture Processor and Embedded Linux

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TLDR
This project is aimed at bringing up a bare multicore power architecture processor board with Embedded Linux, benchmarking it for performance and implementing a digital signal processing application exploiting multiple cores and SIMD units in each core.
Abstract
Background: Traditionally, sonar signal processing is performed on dedicated signal processors to meet the real-time processing requirements Recently, the computational capability in embedded general purpose processors has also multiplied with the introduction of multiple cores and vector processing units Embedded Linux is the usage of Linux kernel and various open source components in embedded systems The key advantage of Linux and open source in the embedded system is the ability to reuse components which allows to design and develop complicated products based on existing components and to have full control of the software part of the system This project is aimed at bringing up a bare multicore power architecture processor board with Embedded Linux, benchmarking it for performance and implementing a digital signal processing application exploiting multiple cores and SIMD units in each core Methods: The T4240RDB processor is developed using Yocto Project Yocto is an open embedded project used to build custom-based Linux images Next, the processor is benchmarked for its processing capabilities and then, signal processing application is done on the processor Findings: Yocto Project can be used to develop architecture-specific images as well as images can be modified and additional recipes and packages can be added The T4240RDB can easily do signal processing application Application: The T4240RDB can be integrated with the sonar subsystem and can be used for real-time data processing

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References
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Journal ArticleDOI

An alternative approach to linearly constrained adaptive beamforming

TL;DR: A beamforming structure is presented which can be used to implement a wide variety of linearly constrained adaptive array processors and is shown to incorporate algorithms which have been suggested previously for use in adaptive beamforming as well as to include new approaches.
Book

Parallel programming in C with MPI and OpenMP

TL;DR: This chapter discusses Parallel Architectures, Message-Passing Programming, and Combining MPI and OpenMP.
Journal ArticleDOI

An overview on the time delay estimate in active and passive systems for target localization

TL;DR: The analysis shows that in the case of low SNR and when signal and noise autospectra are constants over the band or signal and noises fall off at the same rate, the minimum standard deviation of the time delay estimate varies inversely to the SNR, to the square root of the product of observation time and bandwidth, and to the center frequency.
Journal ArticleDOI

On Spatial Aliasing in Microphone Arrays

TL;DR: It is revealed that the spatial Nyquist criterion has little importance for microphone arrays, and the well-known steered response power (SRP) method is formulated with respect to stationary signals, and modifications are necessary to properly form steered beams in nonstationary signal environments.
Proceedings ArticleDOI

Framework for industrial embedded system product development and management

TL;DR: Recent development on the workflow and tools for the Programmable Control and Communication Platform (PCCP) are presented and PCCP can be upgraded in a controlled way during its life cycle by 2026.