Joint maximum likelihood estimation of time delays and Doppler shifts

نویسندگان

  • Carles Fernández-Prades
  • Juan A. Fernández-Rubio
  • Gonzalo Seco-Granados
چکیده

This paper deals with the problem of estimating the amplitudes, time delays and Doppler shifts of a set of known signals received by an array of antennas in temporally white but spatially colored noise. Applying the Maximum Likelihood approach, the estimation reduces to an optimization problem where the nonlinear parameters such frequency shifts and delays are jointly estimated by means of a minimization over a highly nonlinear cost function, which is derived in this paper. In addition, an iterative algorithm that performs these estimations is also presented.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Space-time fading channel estimation and symbol detection in unknown spatially correlated noise

We present maximum likelihood (ML) methods for space–time fading channel estimation with an antenna array in spatially correlated noise having unknown covariance; the results are applied to symbol detection. The received signal is modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. We consider structured and unstructured array response mo...

متن کامل

Joint Data / Channel Estimation for Frequency Selective ( Time - Varying ) Multi - path Channels with Antenna Arrays

| A joint data and channel estimation/tracking algorithm is presented for the time varying frequency selective multi-path fading channel. An in-depth formulation of time varying frequency selective channel structure is developed for a receiver employing multiple antennae where the formulation of the channel model enables channel tap delays a fraction of the symbol period. Moreover the Doppler f...

متن کامل

Subspace-based estimation of time delays and Doppler shifts

This paper considers the problem of estimating the time delays and Doppler shifts of a known waveform received via several distinct paths by an array of antennas. The general maximum likelihood estimator is presented, and is shown to require a 2d-dimensional nonlinear minimization, where d is the number of received signal reflections. Two alternative solutions based on signal and noise subspace...

متن کامل

A Time Domain Method for Joint Estimation of Time Delays, Doppler Shifts and Spatial Signatures

This paper presents an efficient algorithm for estimating the time delays, Doppler shifts and spatial signatures of a known waveform received via several distinct paths by an array of antennas. The algorithm is based on the Signal Subspace Fitting approach. Unlike the approach recently presented in [1], this paper uses a more accurate time domain model for the problem. Simulation examples are i...

متن کامل

Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation

In some statistical process control applications, the combination of both variable and attribute quality characteristics which are correlated represents the quality of the product or the process. In such processes, identification the time of manifesting the out-of-control states can help the quality engineers to eliminate the assignable causes through proper corrective actions. In this paper, f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003