Multipath time-delay estimation for long data records

Abstract

In practice, if signals are band pass, their baseWe address the problem of multipath time-delay estimation. When the received data is very long compared to the transmitted signal, the data is expected to consist of a large number of paths. Modeling the entire data becomes computationally expensive. We propose a technique to break the data into short segments and model each segment individually without misfitting or truncating any paths at the ends of any segment. By effectively using overlapping segments, the estimates of time-delays are combined to model the entire data record. The method is extended to the case where only basebanded data are available. The proposed technique is demonstrated on an experimental sea-test data.

Underwater target detection using multichannel subband adaptive filtering and high-order correlation schemes

“…Moreover, careful design is needed to avoid the instability of the inverse filter. In [6] and [7], algorithms were developed to perform multipath time-delay estimation. In [6], to deal with a long received signal and a short transmitted signal, the long data record was broken into overlapped short segments and each segment was modeled individually without misfitting or truncating any path at the end of each segment.…”

“…In [8]- [12], various kinds of adaptive filtering approaches were developed to jointly estimate the time delays and filter weights. Instead of modeling the received acoustic signal as the sum of delayed and attenuated incident signals as in [6] and [7], a more general model allowing frequency attenuation in the delay path was used. Various higher order statistics-based algorithms [13]- [16] were also developed for time-delay estimation and signal detection.…”