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.
Abstract:
The present invention relates to a method and an apparatus for detecting multi targets of an FMCW radar. According to the present invention, in a method for detecting multi targets of an FMCW radar using a multi target detecting apparatus of the FMCW radar, provided are a method for detecting multi targets of an FMCW radar including the steps of: transmitting a transmission signal including a first and a second triangular wave signal with different periods to a plurality of targets and acquiring a receiving signal reflected from the target; acquiring an up bit frequency and a down bit frequency from the difference between the transmission signal and the receiving signal according to the triangular wave signal; acquiring a first crossover coordinate by mapping the first up bit frequency and the first down bit frequency corresponding to the first triangular wave signal to a distance-speed diagram; acquiring a second crossover coordinate by mapping a second up bit frequency and a second down bit frequency corresponding to the second triangular wave signal to the distance-speed diagram; and extracting a distance and a speed of the target from a synthesis coordinate calculated by using the first crossover coordinate and the second crossover coordinate. According to the method and the apparatus for detecting multi targets of the FMCW radar, detection efficiency and accuracy of multi targets can be increased by using a method of combining the detection result obtained as to two triangular wave signals with different periods over two steps, and generation of a ghost target can be minimized.
Abstract:
PURPOSE: A target decision device using radar and a method thereof are provided to accurately determine multiple targets. CONSTITUTION: A target decision device (100) using radar comprises a bit signal generator (110), a bit frequency extractor (120), and a determining unit (140). The bit signal generator produces a bit signal using a radar transmission signal and a radar reception signal for one or more targets. The bit frequency extractor extracts up-bit frequency and down-bit frequency from the produced bit signal. A power spectral density calculation unit calculates power spectrum density in every predetermined frequency cell sections for the extracted up-bit frequency and down-bit frequency. The determining unit determines whether the target is the same target or not using the similarity between power spectrum densities of the up-bit frequency and the down-bit frequency. A target position calculation unit calculates the position of the target in a frequency cell section in which the similarity between power spectrum densities of the up-bit frequency and the down-bit frequency is higher than a reference similarity value. [Reference numerals] (110) Bit signal generator; (120) Bit frequency extractor; (130) Electricity spectrum density calculator; (140) Determining unit; (AA) Radar signal
Abstract:
탐지 대상의 속도 정밀도를 향상시키는 펄스 도플러 레이더 수신기 및 방법을 개시한다. 일 실시예로서, 펄스 도플러 레이더 수신기 및 방법은, 탐지 대상의 거리 및 속도를 측정하는데 있어 필요한 계산량을 줄이고 메모리를 효율적으로 적용할 수 있어 펄스 레이더를 낮은 복잡도로 구현하는데 크게 이바지할 수 있고, 펄스 레이더를 효율적으로 구현하여 펄스 레이더 기반의 다양한 차량 응용, 조선 응용, 로봇 응용 그리고 보안 응용에 적용될 수 있다.
Abstract:
PURPOSE: A detection method of a vehicle on road is provided to increase the accuracy of detection by limiting the power of true-false which is a weakness of algorism for detecting vehicles in existing image field, and to reduce time for treating comparison with case detecting whole images. CONSTITUTION: A detection method of a vehicle on road comprises: a step of inputting image by photographing a front side or a back side of a vehicle through at least one camera installed in a detecting vehicle; a step of detecting vanishing point on road by using image-treating algorism of the input images; a step of setting the region of interest(ROI) based on the vanishing point; and a step of detecting vehicles by image-treating the region of interest.
Abstract:
PURPOSE: A failure object detection apparatus and a method thereof are provided to generate aerial view mapping of an object and to perform aerial view mapping through grouping and clustering. CONSTITUTION: An aerial view mapping unit(210) displays a location of a failure object on a plane. A grouping unit(220) groups the aerial view map according to each row. A clustering unit(230) generates a depth map histogram according to each group. The clustering unit detects a peak and a valley on the histogram. The clustering unit detects the failure object area according to each group.
Abstract:
PURPOSE: A method and an apparatus for performing an image pixel operation are provided to process the summation of mask area pixels through a summation-table operation method based on an integral image. CONSTITUTION: An apparatus receives an input image(S210). The apparatus partitions the input image into a plurality of segmented windows(S230). The apparatus determines a segmented window computation mode based on an inclusion relation of the partial window(S250). The apparatus performs final integral image computation(S270). The apparatus stores an integral image in four buffers(S290).