Abstract

We have designed an experiment for low-cost indoor measurements of rank and other properties of direct and scattered signals with radar interference suppression in mind. The signal rank is important also in many other applications, for example, DOA (Direction of Arrival) estimation, estimation of the number of and location of transmitters in electronic warfare, and increasing the capacity in wireless communications. In real radar applications, such measurements can be very expensive, for example, involving airborne radars with array antennas. We have performed the measurements in an anechoic chamber with several transmitters, a receiving array antenna, and a moving reflector. Our experiment takes several aspects into account: transmitted signals with different correlation, decorrelation of the signals during the acquisition interval, covariance matrix estimation, noise eigenvalue spread, calibration, near-field compensation, scattering in a rough surface, and good control of the influencing factors. With our measurements we have observed rank, DOA spectrum, and eigenpatterns of direct and scattered signals. The agreement of our measured properties with theoretic and simulated results in the literature shows that our experiment is realistic and sound. The detailed description of our experiment could serve as help for conducting other well-controlled experiments.

Highlights

  • In this article we have designed an experiment for low-cost indoor measurements of rank and other properties of direct and scattered signals with radar applications in mind

  • Decorrelation can occur as a result of platform motion, internal clutter motion, nonzero bandwidth [25], long acquisition interval for estimating the covariance matrix, carrier frequency changes, and so forth

  • The time dimension enters via the acquisition interval, during which decorrelation of the signals can occur

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Summary

Introduction

In this article we have designed an experiment for low-cost indoor measurements of rank and other properties of direct and scattered signals with radar applications in mind. In real radar applications, such measurements can be very expensive, for example, involving airborne radars with array antennas. In many applications of array antennas the covariance matrix R = E{xxH} of the received signal vector x is utilized. The vector x usually contains the signals from the antenna channels and possibly some temporal dimension. The vector can be called a space (or space-only) snapshot or space-time snapshot, respectively

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