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2007

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— The probability hypothesis density (PHD) filter is a practical alternative to the optimal Bayesian multi-target filter based on finite set statistics. It propagates the PHD function, a first order moment of the full multi-target posterior density. The peaks of the PHD function give estimates of the target states. However, the PHD filter keeps no record of… (More)

In orthogonal frequency division multiplexing (OFDM) systems, the subcarriers are generated by an inverse discrete Fourier transform (DFT). OFDM has a relatively slow spectral rolloff. In the literature, the spectra of these subcarriers are often represented by a sequence of sinc functions with the same polarity. This does not explain the intercarrier… (More)

- Kusha Panta
- 2007

The last decade has witnessed exciting developments in multi-target tracking theory and practice. Mahler's finite set statistics (FISST) provides a general systematic foundation for multi-target tracking based on the theory of random finite set (RFS). The RFS framework has led to the development of novel and efficient multi-target Bayes filters and their… (More)

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