Recursive estimation of frequencies and frequency rates of multiple cisoids in noise

Signal Processing

Volumn 58, Issue 2, 1997, Pages 117-129

  Tichavský, Petr ^a   Händel, Peter ^b,c  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c ERICSSON RADIO SYSTEMS AB   (Sweden)

Author keywords

Chirp; Frequency rate; Linear FM signal; Posterior Cram r Rao bound; Sinusoidal frequency estimation; Tracking algorithm

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; ESTIMATION; FREQUENCY MODULATION; RECURSIVE FUNCTIONS; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE;

CHIRP SIGNALS; CRAMER RAO BOUND; ZERO TRACKING DELAY;

SIGNAL DETECTION;

EID: 0031125226     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1684(97)00018-2     Document Type: Article

References (16)

1. T. Abatzoglou, Fast maximum likelihood joint estimation of frequency and frequency rate, IEEE Trans. Aerospace Electronic Systems 22 (1986) 708-714.
2. B. Boashash, Estimating and interpreting the instantaneous frequency of a signal - Part 2: Algorithms and applications, Proc. IEEE 80 (4) (1992) 540-568.
3. P.M. Djurić, S.M. Kay, Parameter estimation of chirp signals, IEEE Trans. Acoust. Speech Signal Process. 38 (12) (1990) 2118-2126.
4. E. Jury, Theory and Application of the z-transform Method, R.E. Krieger Publishing Co., Huntington, New York, 1973.
5. L. Ljung, T. Söderström, Theory and Practice of Recursive Identification, MIT Press, Cambridge, MA, 1983.
6. M. McIntyre, A. Ashley, A comparison of five algorithms for tracking frequency and frequency rate of change, Proc. 1990 Internat. Conf. Acoust. Speech Signal Process., Vol. 5, Albuquerque, USA, 1990, pp. 2899-2902.
7. A. Nehorai, A minimal parameter adaptive notch filter with constrained poles and zeros, IEEE Trans. Acoust. Speech Signal Process. 33 (8) (1985) 983-996.
8. M. Padmanabhan, A hyperstable adaptive line enhancer for fast tracking of sinusoidal inputs, IEEE Trans. Circuits Systems - II: Analog and Digital Signal Process. 43 (4) (1996) 304-315.
9. S.C. Pei, C.C. Tseng, Complex adaptive IIR notch filter algorithm and its applications, IEEE Trans. Circuits Systems - II: Analog Digital Signal Process. 41 (2) (1994) 158-163.
10. S. Peleg, B. Porat, Linear FM signal parameter estimation from discrete-time observations, IEEE Trans. Aerospace Electronic Systems 27 (4) (1991) 607-616.
11. P. Tichavský, Posterior Cramér-Rao bound for adaptive harmonic retrieval, IEEE Trans. Signal Process. 43 (5) (1995) 1299-1302.
12. P. Tichavský, P. Händel, Performance analysis of two algorithms for tracking of multiple noisy cisoids, in: M. Holt, C. Cowan, P. Grant, W. Sandham (Eds.), Signal Processing VII: Theories and Applications, European Association for Signal Processing, Proc. EUSIPCO-94, Edinburgh, Scotland, 13-16 September 1994, Vol. III, pp. 1720-1723.
13. P. Tichavský, P. Händel, Two algorithms for adaptive retrieval of slowly time-varying multiple cisoids in noise, IEEE Trans. Signal Process. 43 (5) (1995) 1116-1127.
14. P. Tichavský, A. Nehorai, Comparative study of four adaptive frequency trackers, Research Report No. 1865, Institute of Information Theory and Automation, Prague, Czech Republic, August 1995. IEEE Trans. Signal Process., To appear.
15. H.L. van Trees, Detection, Estimation and Modulation Theory, Wiley, New York, 1968.
16. I. Vincent, C. Doncarli, F. Auger, A comparative study between two instantaneous frequency estimators, in: M. Holt, C. Cowan, P. Grant and W. Sandham (Eds.), Signal Processing VII: Theories and Applications, European Association for Signal Processing, 1994, Proc. EUSIPCO-94, Vol. III, Edinburgh, Scotland, 13-16 September 1994, pp. 490-493.