Abstract: The present invention relates to a supporting structure, particularly a seat rail, to which passenger seats are mounted. The seat rail has a wave guide for wireless transmission of data signals in at least one direction, and the seat rail includes openings for the transmission of data signals. A wave guide of the seat rail and a coupling wave guide establish a wireless data connection between the supporting structure and the passenger seat.

Abstract: For less expensive estimation the impulse response x.sub.MOS of a high-resolution, band-limited radar channel in a radar station operating with an expanded transmitted pulse a(t), from a received signal e, over which a correlated or uncorrelated additive interference signal n can be superimposed, with the use of knowledge about the spread code c and the use of a channel estimator with which a so-called linear, optimum unbiased estimation of the radar channel impulse response x.sub.MOS is performed in a time range covering M range gates of interest, the linear, optimum estimation in the unbiased channel estimator is modified in such a way that the pulse response x.sub.MOS of the band-limited radar channel is determined according to the basic principle of a multiplication of the sampled received signal e and an inverse estimation matrix A.sub.E.sup.-1. The matrix A.sub.E is formed by the extension of the rectangular matrix represented by the components c.sub.

Abstract: A method for separating a signal mix composed of the additive superposition of M known functions that are weighted with M unknown weighting factors, whereby all or some of the functions are chronologically and/or spectrally not disjunctive. The signal mix including a potential noise signal is supplied to a signal evaluation device that, by filtering, forms true-to-expectation estimated values for the unknown weighting factors. For the first time, this provides a true-to-expectation separation of a signal mix composed of non-orthogonal functions. An apparatus for the implementation of the method forms linear combinations of the correlation products from the input signal and from the functions to be separated. Instead of the functions to be separated, versions of these functions modified according to the properties of the superimposed noise signal can also be used in the formation of the correlation products.