ICA Based Blind Source Separation Applied to Radio Surveillance(<Special Issue>Software Defined Radio Technology and Its Applications)

概要

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In radio surveillance systems we consider the problem of identifying interferers or illegal radios in licensed communication channels The systems considered are receivers using arrays of antennas for spatial processing At the output of each antenna, we have a mixture of communication signals The mixture will depend on the distance of the source radios and the propagation environment These signals may or may not have the same modulation type The main four tasks in the radio surveillance system are Separation of the source signals contained in the data mixture at the array antenna, modulation recognition to identify the illegal radio, direction of arrival estimation to pinpoint the location of the illegal radios, and demodulation to intercept the information contained within the illegal transmission In this paper we deal with the application of the Fast ICA algorithm [3] to a uniform linear array Our interest is to separate the independent source signals from the mixture of signals obtained at the sensors Since the target system operates in the HF domain, where analog modulations dominate, the impingingsignals are assumed analog modulated communication signals
社団法人電子情報通信学会の論文
2003-12-01