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This paper deals with the problem of determining the position of a single target from time difference of arrival (TDOA) and angle of arrival (AOA) measurements using multitransmitter multireceiver passive radar system with widely separated antennas. A practically motivating scenario where the transmitter and receiver positions are contaminated by errors is addressed. First, the reduction in localization accuracy due to the presence of transmitter and receiver position errors is derived through the Cramér-Rao lower bound (CRLB) analysis. Then, a novel algebraic localization algorithm based on weighted least squares minimization is proposed that takes the transmitter and receiver position errors into consideration to reduce the estimation error. The proposed solution is shown theoretically to reach the CRLB even when the transmitter and receiver positions have errors. Simulation results also verify the theoretical developments and the performance improvement of the proposed solution over existing algorithms. [ABSTRACT FROM AUTHOR]

This paper examines the problem of cancellation of cochannel interference (CCI) present in the same frequency channel as the signal of interest, which may bring a reduction in the performance of target detection, in passive bistatic radar. We propose a novel approach based on probabilistic latent component analysis for CCI removal. The highlight is that removing CCI is considered as reconstruction, and extraction of Doppler-shifted and time-delayed replicas of the reference signal exploited fully as training data. The results of the simulation show that the developed method is effective. [ABSTRACT FROM AUTHOR]

Regarding multi-dimensional sparse array signal processing, S. Chen et al. propose a joint angle and frequency estimation method based on covariance reconstruction and obtain the estimation of signal parameters via rotational invariance techniques (CR-ESPRIT) in "Joint Angle and Frequency Estimation in Linear Arrays Based on Covariance Reconstruction and ESPRIT." Sparse arrays, such as coprime array and nested array, can provide enlarged aperture, enhanced spatial resolution, increased degrees of freedom (DOFs), and reduced mutual coupling, which has been considerably attractive to improve active and passive sensing in radar, navigation, underwater acoustics, and wireless communications. [Extracted from the article]