一種基于最大似然估計(jì)的合作目標(biāo)多維參數(shù)跟蹤算法
doi: 10.11999/JEIT141150
基金項(xiàng)目:
上海航天科技基金(SAST201215)和新世紀(jì)優(yōu)秀人才支持計(jì)劃(NCET-13-0034)資助課題
Maximum Likelihood Estimation Based Algorithm for Tracking Cooperative Target
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摘要: 空間交會(huì)對(duì)接微波雷達(dá)采用基于延遲鎖定環(huán)(DDLL)、鎖頻環(huán)(FLL)和鎖相環(huán)(PLL)的算法處理合作目標(biāo)轉(zhuǎn)發(fā)的直接序列擴(kuò)頻信號(hào),獲得入射信號(hào)的時(shí)延、頻率及波達(dá)角(DOA)估計(jì)。針對(duì)當(dāng)前基于DDLL, FLL和PLL(DFP)的算法沒有充分利用接收信號(hào)有效信息的問題,該文提出一種基于極大似然估計(jì)(MLE)的低代價(jià)閉環(huán)跟蹤(MLBT)算法。該算法利用代價(jià)函數(shù)的梯度正比于參數(shù)誤差的特性,設(shè)計(jì)了參數(shù)誤差鑒別器。在此基礎(chǔ)上給出了相應(yīng)的擴(kuò)頻信號(hào)多參數(shù)跟蹤環(huán)路。分析并驗(yàn)證了鑒別器的方差特性,從而給出MLBT算法的參數(shù)估計(jì)均方根誤差(RMSEs)下限。仿真實(shí)驗(yàn)驗(yàn)證了對(duì)MLBT算法參數(shù)估計(jì)均方根誤差下限分析的正確性。此外仿真結(jié)果表明,MLBT算法相比DFP算法有限地增加運(yùn)算量,同時(shí)獲得了更優(yōu)的參數(shù)估計(jì)性能。
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關(guān)鍵詞:
- 雷達(dá) /
- 直接序列擴(kuò)頻信號(hào) /
- 時(shí)延 /
- 頻率 /
- 波達(dá)角
Abstract: The scheme which is based on the Digital Delay Locked Loop (DDLL), Frequency Locked Loop (FLL), and Phase Locked Loop (PLL) is implemented in the microwave radar for spatial rendezvous and docking, and the delay, frequency and Direction Of Arrival (DOA) estimations of the incident direct-sequence spread spectrum signal transmitted by cooperative target are obtained. Yet the DDLL, FLL, and PLL (DFP) based scheme has not made full use of the received signal. For this reason, a novel Maximum Likelihood Estimation (MLE) Based Tracking (MLBT) algorithm with a low computational burden is proposed. The feature that the gradients of cost function are proportional to parameter errors is employed to design discriminators of parameter errors. Then three tracking loops are set up to provide the parameter estimations. In the following section, the variance characteristics of discriminators are investigated, and the low bounds of Root Mean Square Errors (RMSEs) of parameter estimations are given for the MLBT algorithm. Finally, the simulations and computational efficiency analysis are provided. The low bounds of Root Mean Square Errors (RMSEs) of parameter estimations are verified. Additionally, it is also shown that the MLBT algorithm achieves better performances in terms of estimators accuracy than those of the DFP based scheme with a limited increase in computational burden.-
Key words:
- Radar /
- Direct-sequence spread spectrum signal /
- Delay /
- Frequency /
- Direction Of Arrival (DOA)
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