Abstract

In this paper, we propose a target detection and localization method on distributed monopulse arrays for tracking radar. An optimized mainlobe jamming (MLJ) cancellation filter was designed by maximizing the power ratio of the received siackgnal to the jamming-plus-noise. By exploiting the different correlation characteristics between the target echo and MLJ on distributed antennas, the designed filter is able to cancel MLJ and maintain the target echo. By applying the identical filter on sum-difference beams, MLJ can be cancelled, and the monopulse ratio can be maintained simultaneously. Hence, we simply detect and locate the target on the filtering output of sum-difference beams according to the monopulse principle. Monte Carlo simulations demonstrated that the proposed filter outperforms the conventional algorithms.

Highlights

  • The monopulse technique, which can be realized on a lens, reflector, or array antenna, is widely utilized in tracking radar systems [1]

  • 2.1 mainlobe cancellation (MLC) for a monopulse network 2.1.1 One-dimensional monopulse network Given an N-element uniform linear array (ULA) with half-carrier wavelength spacing illustrated in Fig. 1a, the steering vector in direction θ can be expressed as

  • 2.2 Maximum signal to jamming-plus-noise ratio (SJNR) for array antennas External jamming including mainlobe jamming (MLJ) and sidelobe jamming (SLJ) on array antennas can be cancelled by an adaptive spatial filter under the Maximizing SJNR (MSJNR) criterion

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Summary

Introduction

The monopulse technique, which can be realized on a lens, reflector, or array antenna, is widely utilized in tracking radar systems [1]. The technique is not suitable for deploying a super large-scale auxiliary array for tracking radar in practical scenarios. Different from these filtering techniques, a novel target detection method has been proposed based on the fact that the correlation coefficients of the target echo and MLJ are quite different from each other on distributed antennas [13]. This method can detect the target even in the case when the target echo and MLJ come from the same direction.

Background
Two-dimensional monopulse network
Theoretical performance of AMFMNs
Applicability
Proposed method
Results and discussion
Conclusion

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