An algorithm for the automatic formation of tracks is developed for maneuvering targets in cluttered environments. This track formation algorithm consists of Integrated Probabilistic data Association Filters (IPDAFs) ...
详细信息
Weak target inspecting and recovering are very important in IR detecting systems. In this paper, triple correlation peak inspecting techniques(TCPIT) are adopted for the signalprocessing of IR systems in detecting su...
详细信息
ISBN:
(纸本)0819462926
Weak target inspecting and recovering are very important in IR detecting systems. In this paper, triple correlation peak inspecting techniques(TCPIT) are adopted for the signalprocessing of IR systems in detecting sub-pixel or point targets. Investigations show that the signal-to-noise ratio (SNR) improvement of approximate 23dB can be obtained with the input peak SNR of 0.84 and the input power SNR of -0.93dB. The triple correlation overlapping sampling technique(TCOST) is advanced for restoring signal waveforms of IR detection systems. Investigations show that signal waveforms can effectively be restored in the low signal-to-noise ratio circumstances using this approach.
We demonstrate that human skin biometrics in the visible to near infrared (VNIR) regime can be used as reliable features in a multistage human target tracking algorithm suite. We collected outdoor VNIR hyperspectral d...
详细信息
ISBN:
(纸本)9780819490711
We demonstrate that human skin biometrics in the visible to near infrared (VNIR) regime can be used as reliable features in a multistage human target tracking algorithm suite. We collected outdoor VNIR hyperspectral data of human skin, consisting of two human subjects of different skin types in the Fitzpatrick Scale (Type I [Very Fair] and Type III [White to Olive]), standing side by side at seven ranges (50 ft to 370 ft) in a suburban background. At some of these ranges, the subjects fall under the small target category. We propose a three-step approach: Step 1, reflectance retrieval;Step 2, exploitation of absorption wavelength line at 577 nanometers, due to oxygenated hemoglobin in blood near the surface of skin;and Step 3, matched filtering on candidate patches in the input imagery that successfully passed Step 2, using as input all of the available bands in a spectral average representation of human skin. Step-3 functionality is only applied to patches in the imagery showing evidence of human skin (Step 2 output). Regardless of the targets' kinematic states, the approach produced some excellent results locating the presence of human skin in the example dataset, yielding zero false alarms from potential confusers in the scene. The approach is expected to function as the focus of attention stage of a multistage algorithm suite for human target tracking.
In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measu...
详细信息
ISBN:
(纸本)0819441872
In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measurements associated with false alarms. The Binomial distribution better fits the kind of data typically seen in radar because the track gate typically, involves a small number of candidate range cells. The second modification is founded on the assumption that the angle-of-arrival estimates are produced with monopulse techniques. Previous work has modeled the false measurements as being uniformly distributed in the uncertainty volume of the track gate, while a more accurate approach recognizes that the angle components of the false alarms are better modeled as Gaussian perturbations about beam center.
This paper presents the results of a study of tracking algorithms for maneuvering targets. The design focuses on alternative algorithms to track two-dimensional targets during maneuvers. The algorithms explored includ...
详细信息
ISBN:
(纸本)0819444782
This paper presents the results of a study of tracking algorithms for maneuvering targets. The design focuses on alternative algorithms to track two-dimensional targets during maneuvers. The algorithms explored include a standard Kalman algorithm, an extended Kalman algorithm in which the target turn rate is an additional state variable, an interactive multiple model (IMM) algorithm consisting of two models with varying plant noise, a three-model IMM specifying three distinct target turn rates, and a constant gain alpha-beta filter. The IMM trackers tended to work the best in this study, with the three-model IMM performing the best overall.
Fourier synthesis method of waveform generation for ultra wideband (UWB) radar overcomes several disadvantages of traditional impulse generation. In this method a signal is generated in frequency domain by summing the...
详细信息
ISBN:
(纸本)0819415391
Fourier synthesis method of waveform generation for ultra wideband (UWB) radar overcomes several disadvantages of traditional impulse generation. In this method a signal is generated in frequency domain by summing the relatively low power harmonics of the desired signal instead of generating it by a single high power source in time domain. In this paper waveform generation is extended beyond simple baseband periodic pulses. Method for generation of complex amplitude coded baseband waveforms with accurate control of pulse shape and pulse repetition interval is described. This waveform allows pulse compression and coherent integration of UWB signals and thus further reducing the need for very large power sources which may be required for conventional impulse radar implementation. The paper also presents a UWB radar concept which incorporates frequency domain waveform generation. signalprocessing issues for target detection are also addressed.
data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). Th...
详细信息
ISBN:
(纸本)9780819497079
data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). The human target radar echo returns were found to possess a characteristic amplitude modulated (AM) and frequency modulated (FM) signature which could be usefully characterized in terms of conventional AM and FM modulation parameters. Human detection performance after space time adaptive processing is frequently limited by false alarms arising from incomplete cancellation of large radar cross-section discretes during the whitening step. However, the clutter discretes possess different modulation characteristics from the human targets discussed above. The ability of pattern classification techniques to use this parameter measurement space to distinguish between human targets and clutter discretes is explored and preliminary results presented.
In this paper we extend the capabilities of the Wave Process in three major areas. This is a continuation of work that was reported earlier. The Wave Process can now adapt its behavior to detect a point target moving ...
详细信息
ISBN:
(纸本)0819415391
In this paper we extend the capabilities of the Wave Process in three major areas. This is a continuation of work that was reported earlier. The Wave Process can now adapt its behavior to detect a point target moving with an arbitrary velocity while still rejecting stationary background and clutter. It can also adapt to different target velocities simultaneously occurring at different locations on the focal plane. This is achieved through neuromorphic methods, without recourse to clocks, programmability, or other aspects of the digital processing paradigm. We also present a single planar circuit that performs the functions of the positive, negative, and wave-sum planes, with a more efficient analog VLSI implementation for on- focal plane integration. Finally, we develop a more through understanding of the Wave Process performance through numerical simulations of the ideal modeling equations and SPICE simulations of the ideal hardware representations for stationary sources and moving targets.
Detection and estimation of multiple unresolved targets with a monopulse radar is a challenging problem. For ideal single bin processing, it was shown in the literature that at most two unresolved targets can be extra...
详细信息
ISBN:
(纸本)0819459186
Detection and estimation of multiple unresolved targets with a monopulse radar is a challenging problem. For ideal single bin processing, it was shown in the literature that at most two unresolved targets can be extracted from the complex matched filter output signal. In this paper, a new algorithm is developed to jointly detect and track more than two targets from a single detected bin. This method involves the use of tracking data in detection. For this purpose, target states are transformed into detection parameter space, which involves high nonlinearity. In order to handle this, the sequential Monte Carlo (SMC) method, which is proved to be effective for nonlinear non-Gaussian estimation problems, is used as the basis of the closed loop system for tracking multiple unresolved targets. In addition to the standard SMC steps, the detection parameters corresponding to the predicted particles are evaluated using the nonlinear monopulse radar beam model. It in turn enables the evaluation of the likelihood of the monopulse signal given tracking data. That is, we evaluate the likelihoods of different hypotheses of possible combinations of targets being in different detected bins. The hypothesis testing is used to find the correct detection event. The particles are updated and resampled according to the hypothesis that has the highest likelihood (score). A simulated amplitude comparison monopulse radar is used to generate the data with more than unresolved two targets. Simulation results confirm the possible extraction and tracking of more than two targets jointly.
In this paper a new method is presented to deal with multiple model filtering. The method is the so called Multiple Model Multiple Hypothesis Filter (MMMH filter). For each hypothesis a Kalman filter is running. This ...
详细信息
ISBN:
(纸本)0819441872
In this paper a new method is presented to deal with multiple model filtering. The method is the so called Multiple Model Multiple Hypothesis Filter (MMMH filter). For each hypothesis a Kalman filter is running. This hypothesis represents a specific model mode sequence history. The proposed method has a high level of genericity and is highly flexible. The main feature is that the number of hypotheses that are maintained varies with the 'difficulty' of a scenario. It is shown that the MMMH performs better than the widely used Interacting Multiple Model (IMM) filter.
暂无评论