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| Citation: | LI Bo, CEN Zongjun, and TANG Jun. A new method of target detection for passive radar based on information accumulation[J]. Journal of Radars, 2020, 9(6): 959–966. doi: 10.12000/JR20023
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A New Method of Target Detection for Passive Radar Based on Information Accumulation
doi: 10.12000/JR20023
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Abstract
Owing to their strong anti-stealth performance, good concealment and strong survivability, passive radar systems have a wide range of applications in both military and civilian fields. We propose a method of target detection for passive radar systems which is based on the characteristics of these systems and the track-before-detect concept. This method accumulates information to effectively detect weak targets with low signal-to-noise ratios and meet real-time requirements. First, we discretize the state space, then perform recursive Bayesian filtering to transfer and accumulate target-state information between multiple frames. Lastly, the information entropy is used to determine whether the target exists, thereby avoiding reliance on a prior assumption about the transition probability model between the existence and the absence of the target. This method is simple to implement and has low computational complexity and high parallelism. The experimental results indicate that the proposed method has a short running time and strong real-time performance, as well as good detection performance and robustness. -
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References
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- Figure 1. Working principle for passive radar
- Figure 2. The ambiguity function of FM broadcast signal
- Figure 3. Relationship of the probability of false alarm and threshold
- Figure 4. Relationship of the probability of target detection and SNR
- Figure 5. Relationship of the RMSE and SNR
- Figure 6. Relationship of the probability of target detection and SNR
- Figure 7. Relationship of the RMSE and SNR
- Figure 8. Relationship of the information entropy and time
- Figure 9. The results of the estimated target range
- Figure 10. The results of the estimated target Doppler frequency