一種高脈沖重復(fù)頻率雷達(dá)微弱目標(biāo)檢測(cè)跟蹤方法
doi: 10.11999/JEIT140924
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61179018, 61102165, 613720277)資助課題
A Novel Approach for Detecting and Tracking Weak Targets in High-PRF Radar
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摘要: 針對(duì)高脈沖重復(fù)頻率(PRF)雷達(dá)對(duì)微弱目標(biāo)的檢測(cè)跟蹤問題,該文提出一種雷達(dá)測(cè)距模糊條件下基于檢測(cè)前跟蹤(TBD)的微弱目標(biāo)跟蹤方法。該算法借用TBD的思想精髓,對(duì)于每一時(shí)刻的量測(cè),既不進(jìn)行目標(biāo)有無的檢測(cè)也不解距離模糊,而是將目標(biāo)檢測(cè)和解距離模糊統(tǒng)一在目標(biāo)真實(shí)航跡的獲取中。首先通過批處理把目標(biāo)的模糊量測(cè)在所有模糊區(qū)間進(jìn)行多假設(shè)擴(kuò)展,從而提取量測(cè)的時(shí)空相關(guān)信息;然后基于目標(biāo)真實(shí)航跡在時(shí)空上的連續(xù)性和不同PRF量測(cè)之間的相關(guān)性,通過TBD方法得到目標(biāo)航跡,同時(shí)實(shí)現(xiàn)解距離模糊。與同類研究相比, 該方法將微弱目標(biāo)解距離模糊問題統(tǒng)一到目標(biāo)航跡的檢測(cè)確認(rèn)過程中,避免了低信噪比(SNR)造成的航跡漏檢,為實(shí)現(xiàn)高脈沖重復(fù)頻率雷達(dá)微弱目標(biāo)的檢測(cè)跟蹤提供了一種新的思路。最后,通過仿真驗(yàn)證了該算法的有效性。
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關(guān)鍵詞:
- 目標(biāo)檢測(cè) /
- 雷達(dá)高脈沖重復(fù)頻率 /
- 微弱目標(biāo) /
- 檢測(cè)前跟蹤 /
- 解距離模糊
Abstract: On the condition of a high Pulse Repetition Frequency (PRF) mode, radars may suffer from range ambiguity, which poses a significant challenge to detecting and tracking weak targets. To address this problem, a novel approach, which can handle ambiguous data of weak targets, is proposed within the Track Before Detect (TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the problem of range ambiguity resolution and target detection are transformed into the decision of the target true track. At first, the space-time relative information can be achieved by a multiple hypothesis ranging procedure, in which all the ambiguous measurements are handled via a batch procedure. Next, based on the relativity in time and PRF domains, the track is detected with a TBD method while the ambiguous data is unfolded. Different to classic methods, the new approach transforms the problem of range ambiguity resolution into the decision of the real track for targets, which provides a new way to such problem, avoiding the loss tracking of the weak target with lower Signal Noise Ratio (SNR). An application example is given to analyze and compare the performance between the proposed approach and the existing approach. The simulation results illustrate the effectiveness of this approach. -
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