New Identification Sequence Analysis for Multiple Transmitters Subject to Arbitrary Topologies

ENG is a broadcasting industry acronym which stands for electronic news gathering in digital terrestrial television systems. It usually means that a television crew take an ENG truck on location to do a live report for a newscast. The ENG transmitter identification becomes important in digital video broadcasting nowadays. However, the transmitter identification could be quite difficult in a distributed transmission network. A pseudo-random sequence was proposed to be embedded into the digital television (DTV) signal prior to transmission. Thus, the transmitter identification can be realized by invoking the cross-correlation functions between the received signal and the possible candidates of the pseudo random sequences. Kasami sequences are commonly used as the transmitter ID (Tx-ID) sequences as they provide a large family of nearly-orthogonal codes. In order to investigate the sensitivity of the transmitter identification performance to the arbitrary topologies and the Kasami sequence lengths, we present the new analysis here for Tx-ID over random geometric layouts. In our analysis, the lowest received co-channel signal-to-interference ratio is considered as the crucial factor for the multiple-transmitter identification. Moreover, the transmitter location uncertainties are also considered in this paper. The effect of such uncertainties on the minimum required Kasami sequence lengths is investigated. It turns out to be that the larger the Kasami sequence length, the larger the received signal-to-interference ratio. Our new analysis can be used to determine the required Kasami sequence length for an arbitrary ENG-transmitter topology.