Future radars require more flexible and faster radar signal processing chain than commercial radars of today. This means that the demands on the processors in a radar signal system, and the desire to be able to compute larger amount of data in lesser time, is constantly increasing. This thesis focuses on commercial micro-processors of today that can be used for Active Electronically Scanned Array Antenna (AESA) based radar, their physical size, power consumption and performance must to be taken into consideration. The evaluation is based on theoretical comparisons among some of the latest processors provided by PACT, PicoChip, Intrinsity, Clearspeed and IBM. The project also includes a benchmark made on PowerPC G5 from IBM, which shows the ...
Most developers who work with DSP tasks face the problem of lack of computing resources for implemen...
The National Institute of Standards and Technology (NIST) has announced that one of the design crit...
The paper deals with various parallel platforms used for high performance computing in the signal pr...
Future radars require more flexible and faster radar signal processing chain than commercial radars ...
The advanced signal processing systems of today require extreme data throughput and low power consum...
In this paper, we present a performance-based technique to help synthesize high-bandwidth radar proc...
The Frequency Domain Array Processor (FDAP) is a VME compatible circuit board built by Signal Proces...
This thesis examines processor architectures for Synthetic Aperture Radar (SAR). SAR is a remote sen...
This paper investigates the feasibility of a backend design for real-time, multiple-channel processi...
International audienceThis article gives a methodological approach to accelerating an environment of...
During the recent years, computer performance has increased dramatically. To measure the performanc...
Signal processing often requires a great deal of raw computing power for which it is important to ta...
Domain-specific accelerators are a reaction adapting to device scaling and the dark silicon era. Thi...
FFT Applications: Radar Signal Processing, Fast convolution, Spectrum Estimation, OFDM-based Modulat...
The development of radar systems on general-purpose off-the-shelf parallel hardware represents an ef...
Most developers who work with DSP tasks face the problem of lack of computing resources for implemen...
The National Institute of Standards and Technology (NIST) has announced that one of the design crit...
The paper deals with various parallel platforms used for high performance computing in the signal pr...
Future radars require more flexible and faster radar signal processing chain than commercial radars ...
The advanced signal processing systems of today require extreme data throughput and low power consum...
In this paper, we present a performance-based technique to help synthesize high-bandwidth radar proc...
The Frequency Domain Array Processor (FDAP) is a VME compatible circuit board built by Signal Proces...
This thesis examines processor architectures for Synthetic Aperture Radar (SAR). SAR is a remote sen...
This paper investigates the feasibility of a backend design for real-time, multiple-channel processi...
International audienceThis article gives a methodological approach to accelerating an environment of...
During the recent years, computer performance has increased dramatically. To measure the performanc...
Signal processing often requires a great deal of raw computing power for which it is important to ta...
Domain-specific accelerators are a reaction adapting to device scaling and the dark silicon era. Thi...
FFT Applications: Radar Signal Processing, Fast convolution, Spectrum Estimation, OFDM-based Modulat...
The development of radar systems on general-purpose off-the-shelf parallel hardware represents an ef...
Most developers who work with DSP tasks face the problem of lack of computing resources for implemen...
The National Institute of Standards and Technology (NIST) has announced that one of the design crit...
The paper deals with various parallel platforms used for high performance computing in the signal pr...