High Performance Digital Signal Processing
نویسندگان
چکیده
Recent improvements in the speed and complexity of commercially available digital signal processing (DSP) devices have allowed digital techniques to be extended to a number of new areas. Now many applications in RF and communications are within the bandwidth capability of current generation DSP systems. This paper demonstrates a system developed recently for such applications. It uses standard PC bus architectures and interface chipsets, together with commercially available analogue-to-digital converters (ADCs), digital-to-analogue converters (DACs), and field programmable gate arrays (FPGAs), to realise wide bandwidth, high performance systems at relatively low cost. The system outlined provides multiple independent communications processing channels, each with in excess of 100 MSPS real time bandwidth. Analogue interfaces are provided via ADCs and DACs and the module supports frequency domain processing via real time forward, inverse fast fourier transforms (FFTs) and various matrix manipulation algorithms. An industry standard peripheral component interface (PCI) is also implemented on the system, so that raw or processed time-series and/or frequency domain data can be examined and displayed as required, using a standard personal computers (PCs). This PC interfacing also provides the necessary hooks for simple adaptive processing on the high speed data stream.
منابع مشابه
Design and Implementation of Digital Demodulator for Frequency Modulated CW Radar (RESEARCH NOTE)
Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...
متن کاملDigital Binary Phase-shift Keyed Signal Detector
We have developed the effective algorithm for detecting digital binary phase-shift keyed signals. This algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides high interference immunity by identifying signal presence when signal-to-noise ratio is much less that its w...
متن کاملEstimating the Number of Wideband Radio Sources
In this paper, a new approach for estimating the number of wideband sources is proposed which is based on RSS or ISM algorithms. Numerical results show that the MDL-based and EIT-based proposed algorithm havea much better detection performance than that in EGM and AIC cases for small differences between the incident angles of sources. In addition, for similar conditions, RSS algorithm offers hi...
متن کاملSignal Identification Using a New High Efficient Technique
Automatic signal type identification (ASTI) is an important topic for both the civilian and military domains. Most of the proposed identifiers can only recognize a few types of digital signal and usually need high levels of SNRs. This paper presents a new high efficient technique that includes a variety of digital signal types. In this technique, a combination of higher order moments and hi...
متن کاملModeling and Simulation of Substrate Noise in Mixed-Signal Circuits Applied to a Special VCO
The mixed-signal circuits with both analog and digital blocks on a single chip have wide applications in communication and RF circuits. Integrating these two blocks can cause serious problems especially in applications requiring fast digital circuits and high performance analog blocks. Fast switching in digital blocks generates a noise which can be introduced to analog circuits by the common su...
متن کاملEnhancement of Noise Performance in Digital Receivers by Over Sampling the Received Signal
In wireless channel the noise has a zero mean. This channel property can be used in the enhancement of the noise performance in the digital receivers by oversampling the received signal and calculating the decision variable based on the time average of more than one sample of the received signal. The averaging process will reduce the effect of the noise in the decision variable that will approa...
متن کامل