基于超寬帶雷達(dá)生命探測(cè)算法研究
發(fā)布時(shí)間:2018-12-13 22:53
【摘要】:超寬帶(UWB)技術(shù)從被提出以來(lái),就備受學(xué)界推崇,由于體積小、功耗低、穿透能力強(qiáng)、保密性能好等一系列優(yōu)點(diǎn),超寬帶技術(shù)得到了廣泛的應(yīng)用。除此之外,相比連續(xù)波雷達(dá),超寬帶雷達(dá)定位精度更高、成本更低,具有極大的研究?jī)r(jià)值。本文主要內(nèi)容是超寬帶雷達(dá)技術(shù)在生命探測(cè)方面的研究,設(shè)計(jì)合適算法從回波信號(hào)當(dāng)中提取生命信息。首先本文敘述了一種基于多普勒效應(yīng)的超寬帶雷達(dá)的硬件設(shè)計(jì)理論,然后對(duì)雷達(dá)回波信號(hào)做了一些理論分析,針對(duì)回波信號(hào)微弱、易受雜波干擾、頻譜比較分散等特點(diǎn),提出了一種新的信號(hào)處理算法,在新算法當(dāng)中,通過(guò)對(duì)原始信號(hào)濾波將呼吸和心跳兩種信號(hào)做了分離,避免較強(qiáng)呼吸信號(hào)對(duì)較弱心跳信號(hào)的干擾,又通過(guò)時(shí)域分解和重建提取主要生命信號(hào)以及自相關(guān)運(yùn)算降低噪聲信號(hào)干擾,通過(guò)頻譜疊加減少了雷達(dá)回波信號(hào)頻譜損耗。之后本文又介紹了一種基于Chirp掃頻模式的新型超寬帶雷達(dá)硬件結(jié)構(gòu),針對(duì)新的雷達(dá)結(jié)構(gòu),首先利用已知固定頻率物體模擬人體呼吸運(yùn)動(dòng),借此求解上述實(shí)驗(yàn)過(guò)程中的誤差,然后進(jìn)行了一些復(fù)雜場(chǎng)景之下的生命探測(cè)實(shí)驗(yàn),證明本算法能夠有效提取生命信息。本文分析研究了基于超寬帶雷達(dá)生命信息提取,并根據(jù)UWB雷達(dá)回波信號(hào)特點(diǎn)提出了一種新的信號(hào)處理算法,并對(duì)此做了相關(guān)實(shí)驗(yàn)測(cè)試,最終實(shí)驗(yàn)結(jié)果也驗(yàn)證本文算法的正確性,表明了將超寬帶雷達(dá)應(yīng)用在生命探測(cè)研究方向具有一定的參考價(jià)值和應(yīng)用前景。
[Abstract]:Ultra-wideband (UWB) (UWB) technology has been praised by scholars since it was proposed. Because of its small size, low power consumption, strong penetration ability and good security performance, UWB technology has been widely used. In addition, compared with continuous wave radar, UWB radar has higher positioning accuracy and lower cost, so it has great research value. The main content of this paper is the research of UWB radar technology in life detection and the design of appropriate algorithm to extract life information from echo signal. Firstly, this paper describes the hardware design theory of UWB radar based on Doppler effect, then makes some theoretical analysis of radar echo signal, aiming at the characteristics of weak echo signal, easy to be interfered by clutter, scattered spectrum, etc. A new signal processing algorithm is proposed. In the new algorithm, the breathing and heartbeat signals are separated by filtering the original signal to avoid the interference of stronger breathing signal to the weaker heartbeat signal. The main life signals are extracted by time domain decomposition and reconstruction, and the interference of noise signals is reduced by autocorrelation operation, and the spectrum loss of radar echo signals is reduced by spectrum superposition. Then this paper introduces a new UWB radar hardware structure based on Chirp frequency sweep mode. For the new radar structure, the known fixed frequency object is first used to simulate human breathing motion, so as to solve the errors in the above experiments. Then some experiments of life detection in complex scenes are carried out, which prove that the proposed algorithm can extract life information effectively. In this paper, the life information extraction based on UWB radar is analyzed and studied, and a new signal processing algorithm is proposed according to the characteristics of UWB radar echo signal. It is indicated that UWB radar has certain reference value and application prospect in the research direction of life detection.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN957.51
本文編號(hào):2377395
[Abstract]:Ultra-wideband (UWB) (UWB) technology has been praised by scholars since it was proposed. Because of its small size, low power consumption, strong penetration ability and good security performance, UWB technology has been widely used. In addition, compared with continuous wave radar, UWB radar has higher positioning accuracy and lower cost, so it has great research value. The main content of this paper is the research of UWB radar technology in life detection and the design of appropriate algorithm to extract life information from echo signal. Firstly, this paper describes the hardware design theory of UWB radar based on Doppler effect, then makes some theoretical analysis of radar echo signal, aiming at the characteristics of weak echo signal, easy to be interfered by clutter, scattered spectrum, etc. A new signal processing algorithm is proposed. In the new algorithm, the breathing and heartbeat signals are separated by filtering the original signal to avoid the interference of stronger breathing signal to the weaker heartbeat signal. The main life signals are extracted by time domain decomposition and reconstruction, and the interference of noise signals is reduced by autocorrelation operation, and the spectrum loss of radar echo signals is reduced by spectrum superposition. Then this paper introduces a new UWB radar hardware structure based on Chirp frequency sweep mode. For the new radar structure, the known fixed frequency object is first used to simulate human breathing motion, so as to solve the errors in the above experiments. Then some experiments of life detection in complex scenes are carried out, which prove that the proposed algorithm can extract life information effectively. In this paper, the life information extraction based on UWB radar is analyzed and studied, and a new signal processing algorithm is proposed according to the characteristics of UWB radar echo signal. It is indicated that UWB radar has certain reference value and application prospect in the research direction of life detection.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN957.51
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