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Automotive radar sensors typically apply waveforms with a fixed bandwidth. With the new 79 GHz automotive radar band a huge bandwidth of up to 4 GHz has become available, which is an ideal basis for the application of agile waveforms. This paper discusses an approach towards a frequency and bandwidth agile automotive radar sensor that allows to trade maximum range versus resolution. Measurement results...
Wind turbines WT are planned to be constructed often relatively close to radar systems, e.g. air traffic control, air defense, weather radar. The WT are lossless scatterers on the ground and may affect the radar operation in-acceptably. The dislocation in wind-farms is often tried to optimize by a placement on radials of the radar. This scheme is analyzed theoretically and numerically in this paper...
The polarization state of the radar antenna is slow changed, which makes the radar can estimate the polarization parameters of the signal. This paper presents a new method based on the observation equation by least squares method, considering the radar observation equation of antenna polarization matrix is built in the complex domain, we puts forward a transformation method to realize real coefficient...
Overlapped subarrays have cost benefits compare to non-overlapped subarrays. The main cost of phased array radars are for phase shifter or true time delay modules in the case of wide band radars. In overlapped approach, each phase shifter (or time delay module) might have more than one output and it would reduce costs. Although, overlapped subarrays could fit in reduced space too. A main problem in...
A new method for generation of binary pseudorandom sequences (BPR-sequences) with quasi-perfect periodic and inverse periodic autocorrelation has been suggested for applications in radars. The method is based upon a modified discrete multi-dimensional chaotic map with two delays. Various BPR-sequences generated according to the method suggested has been analyzed using computer simulation. Spectrums...
One of the most fundamental tasks in autonomous driving is the recognition of the road ahead. Using radar data, this is usually done via rule based algorithms. This paper proposes a deep learning approach to estimate the course of the ego lane based on occupancy grids generated by radar sensors. The method is also able to simultaneously give a reliability measurement of the predicted driving path...
This article describes CUDA computing architecture, as an effective tool for digital beamforming in radar systems. The goal of this article was to present results of implementations that represents different approaches to this issue. In this article authors also presented different methods of increasing the efficiency of the implemented algorithms.
Portable radar was designed for through wall detection of live being and tracking. A combined sampling oscilloscope was used as a receiver and a short pulse generator as a transmitter.
The development of automotive remote surface identification system is an important step in ensuring road safety. In this paper we shall discuss a novel approach which addresses the road surface classification process. This method is based on polarimetric radar and sonar data fusion and surface identification using artificial neural network. A modular artificial neural network, which is considered...
The goal of most modern automotive safety driver assistance functions is to avoid possible collisions. Pedestrian protection, predictive emergency braking or turn and crossing assist functions are usually based on two steps. First, the radar provides detailed information on the environment, and then a detection procedure is driven. Because of the complicated environment near the vehicle, this second...
In this paper, we propose a novel array interpolation method in logarithmic domain for enhanced direction of arrival (DOA) estimation. Array interpolation techniques are broadly utilized in the DOA estimation for achieving better angular resolution. Generally, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) has been used. When we use the...
This paper presents a system setup based on MIMO OFDM radar that can be used for drone detection and detection of unpiloted aerial vehicles (UAVs) in general. In recent years UAVs have become more and more popular not only for commercial use but also as a private gadget. However, these drones can also be misused as a weapon by criminals, spies and terrorists. Therefore many research is done to be...
In this paper we propose a novel approach to joint radar-communication waveform design with low probability of intercept characteristics. The data are encoded onto a certain parameter of a particular random distribution; using this distribution, random sequences are generated, which become amplitude weights for the orthogonal frequency division multiplexing (OFDM) sub-carriers. We assume and describe...
A new radar system, Sinusoidal Frequency Modulated Continuous Wave radar is used to estimate azimuth angles of radar targets. It overcomes the defect that the Linear Frequency Modulated Continuous Wave radar fails to determine the azimuth angles of multiple targets at the same distance simultaneously. However, it is more difficult to estimate azimuth angles from this complicated radar echoes than...
The article deals with the current situation of histogram use. The overwhelming majority of ELINT systems apply histogram depiction in their analytic displays. A significant majority of distinguished radar signals experts use this advantageous function. This contribution shows a breakthrough approach in histogram description via a Gaussian function. Specific sections are aimed at the creation of a...
Current solutions for localization of first responders are mainly based on fusion of multiple sensors and communication units. This solution usually requires too much space and weight that must be carried by rescue, police or military personnel. The goal of the paper is to demonstrate the benefits of UWB technology for such an application scenario. This technology represents a promising solution since...
We present an algorithm that allows an interceptor aircraft equipped with an airborne radar to meet another air target (the intercepted) by developing a guidance law and automatically adapting and optimising the transmitted waveform on a pulse to pulse basis. The algorithm uses a Kalman filter to predict the relative position and speed of the interceptor with respect to the target. The transmitted...
Compressive sensing (CS) for radar signal processing is known to be capable of various applications. This signal processing technique shows excellent performance for detecting objects. However, the grid problem of CS is an obstacle to more precise performance. In this paper, we introduce two methods to overcome this grid problem and evaluate the performance of the methods. The first method is an up-sampled...
Recent critical instances have demonstrated the demand for an effective way of detecting and classifying small Unmanned Aerial Vehicles (UAVs) as they pose a serious threat in civil security. We present results of radar measurements with a one channel continuous wave system at Ka band aiming at classifying UAVs through a detailed micro-Doppler analysis. High-sensitivity measurements of different UAVs...
In this paper we design an effective Waveguide Slotted Array (WSA) antennas for K-band radar application. First of all, WSA parameters such as waveguide dimensions, slot length, slot width, slot displacement and other parameters of the antenna are calculated by using analytic techniques for 25 GHz. After, in order to suppress side lobe level Taylor and Chebyshev coefficients are determined in detailed...
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