TAILIEUCHUNG - Phần mềm xác định radio P4

Data converters are one of the key enabling technologies for the software defined radio (SDR). Regardless of the interpretation of the definitions – software radio, software defined radio, software based radios – the challenge of moving the analog-digital boundary closer to the antenna is the critical step in establishing the foundation for increasing the content and capability of digital signal processing (DSP) in the radio. SDR technologies have provided the incentives for the breakthrough in converter technologies pushing the state-of-the-art [1] | Software Defined Radio Edited by Walter Tuttlebee Copyright 2002 John Wiley Sons Ltd ISBNs 0-470-84318-7 Hardback 0-470-84600-3 Electronic 4 Data Conversion in Software Defined Radios Brad Brannon Chris Cloninger Dimitrios Efstathiou Paul Hendriks Zoran Zvonar Analog Devices Data converters are one of the key enabling technologies for the software defined radio SDR . Regardless of the interpretation of the definitions - software radio software defined radio software based radios - the challenge of moving the analog-digital boundary closer to the antenna is the critical step in establishing the foundation for increasing the content and capability of digital signal processing DSP in the radio. SDR technologies have provided the incentives for the breakthrough in converter technologies pushing the state-of-the-art 1 . In this chapter we review the foundations and technologies of data conversion from the perspective of their usage in SDRs exploring capabilities constraints and future potential. The Importance of Data Converters in Software Defined Radios The use of converters in SDR depends upon the overall radio architecture. A summary of sampling techniques for the various receiver architectures described in Chapters 2 and 3 is given in Table . Table Summary of sampling strategies for SDR receivers Radio RX architecture Analog output Sampling strategy Direct conversion I Q baseband Quadrature baseband Superheterodyne I Q baseband IF signal Quadrature baseband IF sampling Bandpass sigma-delta Low IF IF frequency - quarter of sampling frequency Direct sampling 100 Software Defined Radio Enabling Technologies Direct sampling Nyquist sampling satisfies the conditions of the sampling theorem for bandlimited analog signals requiring that the sampling rate is at least two times the highest frequency component of the analog signal. In practical realization direct sampling implementation is closely coupled with anti-alias filtering realizations. Oversampling of the

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