MIMO radar filterbank design for interference mitigation

Abstract

MIMO radars transmit multiple waveforms simultaneously. As the number of waveforms used increases, the cross-correlation between the waveforms also tends to increase if the transmission time or bandwidth is not increased. By using a bank of mismatched filters at the receivers, it is possible to decrease the peak cross-correlation and autocorrelation sidelobe levels of the used waveforms. Furthermore, interference power can also be significantly reduced at the same time. We propose a filterbank design for the MIMO radar receiver based on minimizing the interference power at the receiver while controlling peak sidelobe and cross-correlation values, resulting in a convex optimization problem.

Generalized Cramér–Rao Bound for Joint Estimation of Target Position and Velocity for Active and Passive Radar Networks

“…From the figure, we can see that the RECRBOB mis provides an informative lower bound 1 on RMSE mis in this case. 1 We have verified that the unaveraged values of RECRBOB mis also provide a lower bound to the unaveraged values of RMSE mis . Note that all the other details of the system analyzed in Figure 7, except for this signal mismatch, are the same as in Figure 2.…”

“…The focus of this paper is on new Cramer-Rao bounds (CRB) for estimation of target position and velocity from distributed radar networks, sometimes called MIMO radar systems or multistatic radar systems [1], [2], [3], [4], [5], [6], [7], [8], operating under more general, and practically occurring, conditions than assumed in previous work. In particular, the presented results allow nonorthogonal signals, spatially dependent Gaussian reflection coefficients, and spatially dependent Gaussian clutter-plus-noise, which are cases of great practical interest.…”

Improvement of high‐voltage impulses in track circuits with Kasami and LS codes

“…[7][8][9] Furthermore, regarding track circuits for double-track facilities, it is interesting to have the possibility of simultaneously transmitting from different emitters placed at certain points of the track section. 12 They are pseudorandom noise sequences and have the properties of high AC and low CC values. 10 At the same time, the reduced cross-correlation (CC) functions allow to minimize the crosstalk interference from the coupling between 2 parallel tracks, and they will enhance the discrimination capability of transmissions at the receivers.…”

“…11 Kasami sequences were proposed in the 1960s, as a balance of their suitable correlation features and their computational complexity and applicability. 12 They are pseudorandom noise sequences and have the properties of high AC and low CC values. Kasami sequences can be classified into 2 types: the large set and the small set.…”