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Co-Channel Interference Suppression for LTE Passive Radar Based on Spatial Feature Cognition.

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Passive radars using Long-Term Evolution (LTE) signals face interference. A new cascaded cancellation method effectively suppresses these interferences using spatial spectrum cognition, improving radar performance.

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Wireless Communications

Background:

  • Passive radars utilizing Long-Term Evolution (LTE) signals are susceptible to severe interference from both the primary base station (BS-IoO) and co-channel base stations (CCBS).
  • Traditional interference suppression methods struggle with LTE-based passive radar due to the difficulty in obtaining reference signals for co-channel interferences, leading to degraded cancellation performance.

Purpose of the Study:

  • To propose a novel cascaded cancellation method for effectively suppressing severe interferences in LTE-based passive radar systems.
  • To enhance the cancellation performance of passive radars by addressing the challenge of obtaining reference signals for co-channel interferences.

Main Methods:

  • A cascaded cancellation approach is introduced, employing multiple iterative cancellation loops.
  • Each loop utilizes the cyclostationary characteristic of LTE signals and compressed sensing to recognize the spatial spectrum of strong interferences.
  • Clean reference signals for interferences are reconstructed based on the identified spatial spectrum, enabling subsequent cancellation and residual energy estimation.

Main Results:

  • The proposed method achieves good interference cancellation performance, even with a small-sized antenna array.
  • Theoretical analysis and simulation results validate the effectiveness of the cascaded cancellation technique in mitigating interferences.
  • The iterative nature of the cancellation loops allows for continuous improvement until residual interference energy falls below a threshold.

Conclusions:

  • The developed cascaded cancellation method significantly improves the performance of LTE-based passive radar by effectively handling severe co-channel interferences.
  • The technique offers a robust solution for interference suppression in passive radar systems, overcoming limitations of traditional methods.
  • The spatial spectrum cognition approach provides a viable path for reconstructing interference reference signals and enhancing overall radar functionality.