Study Of Target Detection In Passive Multistatic Radar

As a kind of sensor,the radar has to complete the task of detection,location,recognition and track.With the development of technology,the radar is facing unprecedentedly grim challenges.The challenge is mainly shown in the following aspects: increasingly complex background,more subtle electronic interference,low-altitude and ultra-low altitude aircraft,high-speed anti-radiation missile and stealth aircraft.A good detection algorithm is of great practical guiding significance and application value,which is in favour of the improvement of the combat level of the radar in the new situation.In this paper,three different target detection algorithms in passive radar are discussed,the linear fusion passive detection algorithm,the passive detection algorithm based on F-test and the passive detection with compensation error.In addition,the adaptive target detection algorithm in active radar is considered.A linear fusion framework for target detection in the passive multistatic radar is proposed here to improve the detection performance.In our framework,the global decision is the weighted combination of the local test statistics from spatially separated receivers,and the individual test statistics are computed through cross-correlation.A modified deflection coefficient is introduced as an optimization criterion for the selection of the weighting coefficients.Particularly,we give the weighting coefficient in closed form which is computationally efficient to calculate.In addition,we derive a closed-form expression for the probability of false alarm of this system.We focus on the target detection problem in passive multistatic radar consisting of a noncooperative illuminator of opportunity,and several spatially separated surveillance receivers.According to the generalized likelihood ratio test,two F-test based detectors are proposed for target detection in this passive multistatic radar.We drive closed-form expressions for the probability of false alarm and detection probability of the proposed detector for the case of equal noise power in each receivers.The detection problem of a passive multistatic radar system with a non-cooperative illuminator of opportunity in the presence of compensation errors is discussed in this article.Two detectors are used to address this detection problem according to whether the noise powers in the receivers are equal or not.Both of them have a constant false alarm rate with respect to the noise power.A target detection problem in colored Gaussian disturbance with an unknown covariance matrix is examined in this paper.We propose a new detector with two tunable parameters,which includes several existing detectors as special cases.It has a much lower computational burden.Closed-form expressions for the probabilities of false alarm and detection are derived in the matched and mismatched cases for both non-fluctuating and fluctuating target models.