Robust Detection in MIMO Radar With Steering Vector Mismatches

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Robust Detection in MIMO Radar With Steering Vector Mismatches

By: 
Jun Liu; Jian Li

We address a robust detection problem for MIMO radars in Gaussian noise with unknown covariance matrix, for the mismatched case where the nominal transmit (or receive) steering vector may not be aligned with the true transmit (or receive) steering vector. Subspace models are adopted for taking into account these mismatches. More specifically, the transmit (or receive) steering vector is assumed to belong to a subspace. Without requiring training data, we design adaptive detectors according to the criteria of Wald test, Rao test, and generalized likelihood ratio test (GLRT). It is found that the Rao test does not exist for the detection problem to be solved. Additionally, the proposed Wald test and GLRT exhibit constant false alarm rate properties against the noise covariance matrix. Numerical examples show that the proposed detectors compared to their existing counterparts have better robustness against the steering vector mismatches. Moreover, the proposed Wald test exhibits better robustness than the proposed GLRT in the region of high signal-to-noise ratio.

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel