Abstract
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.
Highlights
Passive radar detects and tracks potential targets by exploiting noncooperative transmitters as their sources of radar transmission [1–4]
Target localization is one of the salient issues in the multiple-input multiple-output (MIMO) passive radar field. e time difference of arrival (TDOA) measurement, which usually comes from the crosscorrelation (CC) processing between the reference signal and the reflected target echo [9], is a common measurement used to determine the target position
To overcome the fundamental flaw of TDOA-based localization, as suggested in [11], angle of arrival (AOA) measurement of the reflected target echo, which can be determined by subspace-based estimators [15], can be jointly utilized [16]
Summary
Passive radar detects and tracks potential targets by exploiting noncooperative transmitters as their sources of radar transmission [1–4]. Noroozi et al [18] developed a TSWLS algebraic solution for target localization with a MIMO passive radar using TDOA and AOA measurements. E performance degradation created by transmitter and receiver position errors has been known for a while in the TDOA-based localization with MIMO passive radar [24]. It was shown that the transmitter and receiver position errors can significantly degrade the localization performance of MIMO passive radars. The errors in transmitter and receiver positions need to be taken into consideration in practical applications during the design of localization algorithms in MIMO passive radars. We address the target localization problem from TDOA and AOA measurements in the presence of transmitter and receiver position errors. En, a novel closed-form solution is proposed for the localization problem to reduce the performance degradation created by the transmitter and receiver position errors.
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