空間色噪聲背景下雙基地多輸入多輸出雷達(dá)低仰角估計(jì)方法
doi: 10.11999/JEIT140290 cstr: 32379.14.JEIT140290
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61331012, 61371197, U1333106, 61271400)和教育部博士點(diǎn)基金(20120141110077)資助課題
Low-elevation Estimation for Bistatic MIMO Radar in Spatially Colored Noise
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摘要: 針對(duì)多徑效應(yīng)的影響,該文提出一種空間色噪聲背景下雙基地多輸入多輸出(MIMO)雷達(dá)低仰角估計(jì)方法。首先對(duì)雙基地MIMO雷達(dá)中低仰角目標(biāo)的多徑環(huán)境進(jìn)行建模,同時(shí)考慮發(fā)射和接收端的鏡面反射信號(hào),并用空間色噪聲模擬漫反射。然后利用協(xié)方差矩陣求差方法消除未知色噪聲的影響,在發(fā)射端和接收端進(jìn)行空間平滑對(duì)多徑信號(hào)解相干,即進(jìn)行空間差分平滑處理。最后利用酉變換旋轉(zhuǎn)不變技術(shù)(ESPRIT)算法估計(jì)目標(biāo)的發(fā)射角(DOD)和接收角(DOA)。該文指出特殊情況下空間差分平滑協(xié)方差矩陣缺秩的問題,并提出一種修正的空間差分平滑方法。該算法對(duì)陣元數(shù)要求不高,適用于未知噪聲背景及低信噪比環(huán)境,并且解決DOD與DOA聯(lián)合估計(jì)的角度兼并問題。仿真實(shí)驗(yàn)表明了所提算法的有效性。
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關(guān)鍵詞:
- 雙基地MIMO雷達(dá) /
- 發(fā)射角 /
- 接收角 /
- 空間色噪聲 /
- 低仰角估計(jì)
Abstract: Concerned with the influence of multipath, this paper proposes a spatially differencing smoothing technique for the low-elevation estimation in the bistatic MIMO radar under the spatially colored noise. Firstly, the multipath environment for a low-elevation target in the bistatic MIMO radar is modeled, by considering the specular reflection of the transmitter and receiver. The diffuse reflection is assumed to be the spatially colored noise. Then, the covariance matrix differencing is used to eliminate the unknown noise component, and the transmitting array and receiving array are spatially smoothed to decorrelate the multipath signals, which does the spatially differencing smoothing operation. Finally, the Direction of Departures (DODs) and Direction of Arrivals (DOAs) are estimated by unitary Estimation of Signal Parameters using Rotational Invariance Techniques (ESPRIT) algorithm. This paper also points to the rank deficiency problem of the spatially differencing smoothed covariance matrix in a special case, and modifies the spatially differencing smoothing method correspondingly. The proposed methods require a small number of antenna elements, fit for general unknown noise fields and low SNR environment, and solve the angle-merging problem in joint DOD and DOA estimation. The simulation results demonstrate the effectiveness of the proposed method. -
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