Abstract:
A system and a method for measuring an indoor position accurately are provided to track a position of an object by using a distance between the object and a sensor, and a distance between the sensor and another sensor. A system for measuring indoor position accurately includes a first sensor(21), a second sensor(22) and a position estimation unit(24). The first sensor(21) measures a distance R1 from a target object. The second sensor(22) is arranged at an interval of a distance D from the first sensor(21), and measures a distance R2 from the target object. The position estimation unit(24) estimates a position of the target object from the distances R1, R2 and D. When it is assumed that the first sensor(21) is located on a zero point, and the second sensor(22) is located on an X-axis, the position x,y of the target object estimated by the position estimation unit(24) is as follows: x=(R12+D2-R22)/2D, y={(2R2*R22+2R12*D2 +2R22*D2-R14-R24-D4)/4D2}1/2.
Abstract:
본발명은무선센서네트워크에서 TOA(time of arrival)를이용한무선측위장치및 그방법에관한것이다. 본발명에따른무선측위장치는노드간에교환되는신호를수신하는신호수신부; 상기수신된신호를처리하여자기상관행렬을연산하는행렬연산부; 상기연산된자기상관행렬을고유벡터(eigenvector) 형태로변환하고행렬의놈(norm) 연산을이용하여가상스펙트럼을검출하는스펙트럼검출부; 및상기검출된가상스펙트럼의피크및 인덱스를검출하여 TOA 를예측하는 TOA 출력부를포함한다. 이와같이본 발명에따르면, 비동기 TWR 시스템의고성능의해상도를실현할수 있는알고리즘에의해 TOA를예측할수 있다. 또한, 본발명에따르면행렬의분해가불필요하여낮은복잡도의 TOA 예측알고리즘을구현할수 있다.
Abstract:
The present invention relates to a frequency estimating device of a radar signal and a method thereof. The frequency estimating device of the radar signal according to the present invention comprises; a step of repeating a radar transmission signal of the pulse type of N having a PRI interval M times per frame and discharging it to one or more targets and receiving a radar receiving signal; a step of sampling the radar receiving signal; a step of estimating a pulse in which a transformed value becomes a maximum value as an integer unit by Fourier-transforming the sampled radar receiving signal; an obtaining a power value of the radar receiving signal per frame; a step of obtaining a decimal unit using a Fourier transformation value of the radar receiving signal and estimating the decimal unit by Fourier-transforming an obtained decimal unit value repeatedly; a step of measuring a final decimal unit using the estimated decimal unit and the power value; and a step of obtaining an estimating frequency of the radar receiving signal using the integer unit and the final decimal unit. According to the present invention as above, a Doppler frequency can be estimated accurately under a low SNR condition by estimating a weighted average Doppler frequency. Especially, the present invention has an excellent performance in comparison with a frequency estimating method according to a traditional technology because a signal received in an excellent SNR has a high weighted value.