{"title":"High Resolution Radar Signal Processor for Isar and Automatic Target Recognition","authors":"L. Sciacca, R. Evans","doi":"10.1109/ISSPA.1996.615689","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615689","url":null,"abstract":"This paper describes a radar signal processor architecture suitable for implementing monopulse high resolution radar (HRR). A coherent transmitter and receiver radar is used to transmit and process waveforms with long pulse widths and high-bandwidth properties. The received signals are I/Q demodulated, sampled and processed using a digital filter matched to the transmitted waveform. The output of the processor is a high resolution 2-D range-Doppler array. Block processing of coherent pulse trains is carried out to further improve signal-to-noise ratios by integrating the 2-D array in the frequency domain. The end result is detailed information on target range and Doppler profiles, suitable for inverse SAR (ISAR) and providing feature data for automatic target recognition.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124150031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Computation Of Orthogonal Transforms Using Sparse Mixed Kernels","authors":"J. Agbinya","doi":"10.1109/ISSPA.1996.615132","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615132","url":null,"abstract":"A two-stage computation of orthogonal transforms that leads to faster algorithms with reduced numbers of multiplications is the subject of this paper. The first stage (a mixed transform) preprocesses the transform using a mixed transform matrix, while stage two is a correction which. in this case is given as a Walsh-Hadamard transform (WHT). Application to isotropic quadratic filters and multiplier-free implementation of orthogonal transforms are demonstrated.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123163349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Block Structured Adaptive Filtering Method For Multi-channel Echo Canceller","authors":"D. Oh, Dong-jin Shin","doi":"10.1109/ISSPA.1996.615092","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615092","url":null,"abstract":"In the Public Land Mobile Network (PLMN), it is important to cancel the echo reflected from the Public Switched Telephone Network(PSTN) side. In case of Digital Mobile system, the round-trip delay of the echo is in excess of about 180 milliseconds due to frame-by-frame voice coding. It is necessary to cancel the echo in PLMN. We propose a block structured adaptive filter for effective FIR modeling of echo path. We have developed a multichannel echo canceller that operates with Time Switch Module in a Mobile Switching Center(MSC). The general echo canceller needs PCM trunk interface circuits and the tone detection and disabling circuits, but the multi-channel echo canceller linked with Time Switch Module does not need them.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123826689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Swift, W. Elliston, M. Wende, M. Sandys-Wunsch, C. M. McIntyre, J. Riley
{"title":"Space-time Integration Approach To Tracking Weak Targets Using Spatially Distributed Sensors","authors":"M. Swift, W. Elliston, M. Wende, M. Sandys-Wunsch, C. M. McIntyre, J. Riley","doi":"10.1109/ISSPA.1996.615178","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615178","url":null,"abstract":"This paper investigates the performance and robustness of the space-time integration technique by applying it to two different scenarios; a target moving in a straight line through a sonobuoy field; and a target undertaking a major course change. Although most techniques will track a target moving in a straight line quite successfully many have difficulty Packing the target as it manoeuvres through a slow rum. The performance of this approach is compared with the more traditional extended Kalman Filter algorithm where the advantages and dis-advantages of each technique is highlighted. Results are presented for scenarios using both simulated and sea trial data.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132960342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stability of Linear Time-Varying Systems","authors":"B. Bakat","doi":"10.1109/ISSPA.1996.615724","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615724","url":null,"abstract":"Only few explicit solutions exist for time varying systems, namely: The A1 class, the Ah class and the commutative class, and transparent stability results for these three classes are obtained. In this paper, we present a practical criterion of stability which can be defined directly from the matrix A(t). This method is based on Gronwall’s theorem and shows that a linear time varying system can be stabilised by increasing the damping of the constant nominal of the matrix A(t).","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Of Signal Dependent Kernel Functions For Digital Modulated Signals","authors":"A. Sha'ameri, B. Boashash, Ishak Ismail","doi":"10.1109/ISSPA.1996.615091","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615091","url":null,"abstract":"One of the features of a radio monitoring system is the estimation of modulation parameters for digital modulated signals. For low signal-to-noise ratio conditions, time-frequency signal analysis is an attractive method to use. However, analysis of digital modulated signals using existing time-frequency distributions have proven that none of these distributions are suitable for this task. To improve the time-frequency representation of a class of digital modulated signals, a technique for calculating the signal dependent kernel function is derived. The kernel function is derived by minimizing the least-squares error between the calculated and desired time-frequency distributions. Simulations using the bilinear formulation of time-frequency distribution verify the results and the desirable time-frequency distribution is obtained for a given signal class.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134459572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. McLean, J. Agbinya, J. Cannon, Rong-Yu Chao, Youngkyu Choi, Haley Jones
{"title":"Which Entropy Coder?","authors":"D. McLean, J. Agbinya, J. Cannon, Rong-Yu Chao, Youngkyu Choi, Haley Jones","doi":"10.1109/ISSPA.1996.615083","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615083","url":null,"abstract":"We discuss the relative meritS Of the Huffman and the Arithmetic coders. We show that the Huffman coder is generally competitive with the Arithmetic coder. from the original data sequence. This has the obvious advantage that. if the most common composite symbol has a probability greater than 0.j. it will be encoded by a ]-bit symbol in the HC. meaning that the original values will be encoded with I/M bits per sample. A second. more subtle. advantage is that if there are significant correlations between the values to be encoded. grouping them will reduce the entropy of the distribution of symbols. yielding still lower bit rates.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"47 S226","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132227699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Track Fusion in the Presence of an Interference","authors":"M. Krieg, D. Gray","doi":"10.1109/ISSPA.1996.615710","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615710","url":null,"abstract":"The problems of poor performance and track loss in the presence of interfering targets when using a Kalman filter to fuse tracks in multiple sensor systems are addressed. Two variants of the Probabilistic Multi-Hypothesis Tracking (PMHT) algorithm for multisensor tracking are presented to address these problems. A comparison of performance is made between these two algorithms, and a heuristic algorithm based on the normalised innovations from each sensor.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Spectrum Analysis Of Interference Excisions In Spread Communications Based On Instantaneous Frequency Estimation","authors":"Chenshu Wang, M. Amin","doi":"10.1109/ISSPA.1996.615123","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615123","url":null,"abstract":"Excision Filter-\"-ii, Input data Interference excision in spread spectrum communication systems using time-frequency distributions (TFD) has been recently introduced to mitigate nonstation-ary interferers. The jammer instantaneous frequency (IF) is estimated and used to construct a time-varying 0 m x Fig.l block d i a g \" of the interference excision (BER) increases with the bias and is dependent on the jammer IF.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"23 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114133375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Iterative Algorithm For Estimating The Parameters Of Polynomial Phase Sighals","authors":"P. O'Shea","doi":"10.1109/ISSPA.1996.615147","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615147","url":null,"abstract":"The \"Polynomial Phase transform (PPT)\", was presented in [l] as a tool for the estimation of the parameters of constant amplitude polynomial phase signals. Extensions of the algorithm have also been proposed in [2] to be able to deal with parameter estimation for multiple components and for time-varying amplitude. While the PPT is computationally efficient and almost statistically efficient at high signal to noise ratio (SNR), it fails catastrophically at low SNR. This paper presents an extension so that the PPT can operate at lower SNRs. The proposed algorithm is iterative: and uses a similar approach to that used for parameter estimation of quadratic phase signals in [3], [4] and [5].","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114450184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}